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Introduction to Prompt Engineering for ChatGPT

2023-05-28T00:00:00+00:00

Introduction to Prompt Engineering for ChatGPT

Self-learning is a diverse and personal journey, with individuals finding their own preferred methods. For avid readers, delving into articles and blog posts is an enriching experience, as it allows them to absorb knowledge at their own pace. On the other hand, visual learners thrive by watching YouTube channels, where dynamic explanations and demonstrations captivate their attention. Meanwhile, those who learn best through examples appreciate the power of seeing concepts in action. To cater to these varied preferences, we have created a comprehensive blog that guides you step by step. Each blog post includes a link to a complete Jupyter notebook for hands-on practice, ensuring a deeper understanding of the topic. Additionally, we provide a YouTube link to supplement the written content with engaging visuals. No matter your learning style, we've got you covered!

In our comprehensive programming series, we are thrilled to introduce you to the world of programming using ChatGPT and PythonAPI. Over the course of ten informative blogs, each accompanied by a dedicated YouTube video and Jupyter notebook, we aim to equip you with the skills and knowledge to become a proficient programmer. While each blog can be read independently, we highly recommend following the intended order for a seamless learning experience. Starting with the basics, we gradually build upon concepts, allowing you to grasp programming fundamentals before diving into more advanced topics. Don't forget to begin with the first blog, as it guides you through setting up your environment and getting started on your programming journey.

Intro to ChatGPT
Intro to Prompt Engineering
Advanced Prompt EngineeringT
Sentinement Analysis using ChatGPT

In this tutorial, we will walk you through how to use the ChatGPT Python API to develop programs. ChatGPT is a powerful language model developed by OpenAI, based on the GPT architecture. It is designed for tasks such as answering questions, generating text, and much more.

Prerequisites

Before we begin, you should have some basic knowledge of Python and RESTful APIs. Familiarity with OpenAI’s GPT models is helpful but not required.

Setting up

To get started, you will need an API key from OpenAI. You can get one by signing up on the OpenAI website.

Next, install the openai library using pip:

pip install openai

Using the ChatGPT API

Once you have installed the library and obtained your API key, you can start using the ChatGPT API.

First, set up your API key and import the required library:

import openai

# Replace 'your_api_key_here' with your actual API key
openai.api_key = "your_api_key_here"

Sending a request to ChatGPT

Now, let’s create a function that sends a prompt to ChatGPT and returns the generated text:

def generate_text(prompt, model='text-davinci-002', max_tokens=150):
    response = openai.Completion.create(
        engine=model,
        prompt=prompt,
        max_tokens=max_tokens,
        n=1,
        stop=None,
        temperature=0.5,
    )

    return response.choices[0].text.strip()

You can customize the model, max_tokens, and other parameters based on your requirements.

Example usage

Here’s an example of how to use the generate_text function:

prompt = "What is the capital city of France?"
response = generate_text(prompt)
print(response)

This should return:

The capital city of France is Paris.

Handling a conversation

To simulate a conversation with ChatGPT, you can use a list of messages as input and append user messages and ChatGPT responses:

conversation_history = []

def ask_chatgpt(question):
    prompt = f"{question}\n{''.join(conversation_history)}"
    response = generate_text(prompt)
    conversation_history.extend([f"User: {question}\n", f"ChatGPT: {response}\n"])
    return response

# Example conversation
question1 = "What is the capital city of France?"
response1 = ask_chatgpt(question1)
print(response1)

question2 = "What is the population of Paris?"
response2 = ask_chatgpt(question2)
print(response2)

This example simulates a simple conversation with ChatGPT, asking two questions and receiving responses.

Conclusion

In this tutorial, we’ve introduced you to using the ChatGPT Python API for developing programs. You’ve learned how to send requests to ChatGPT and receive generated text, as well as how to simulate a conversation. You can expand on these examples to create more advanced applications that utilize the power of ChatGPT.

Remember to replace the API key placeholder with your actual API key before running the code. Happy coding!

Introduction to ChatGPT API in Python

2023-05-03T00:00:00+00:00

Introduction to Using ChatGPT Python API

Prerequisites

Before we begin, you should have some basic knowledge of Python and RESTful APIs. Familiarity with OpenAI’s GPT models is helpful but not required.

Setting up

To get started, you will need an API key from OpenAI. You can get one by signing up on the OpenAI website.

Next, install the openai library using pip:

pip install openai

Using the ChatGPT API

Once you have installed the library and obtained your API key, you can start using the ChatGPT API.

First, set up your API key and import the required library:

import openai

# Replace 'your_api_key_here' with your actual API key
openai.api_key = "your_api_key_here"

Sending a request to ChatGPT

Now, let’s create a function that sends a prompt to ChatGPT and returns the generated text:

def generate_text(prompt, model='text-davinci-002', max_tokens=150):
    response = openai.Completion.create(
        engine=model,
        prompt=prompt,
        max_tokens=max_tokens,
        n=1,
        stop=None,
        temperature=0.5,
    )

    return response.choices[0].text.strip()

You can customize the model, max_tokens, and other parameters based on your requirements.

Example usage

Here’s an example of how to use the generate_text function:

prompt = "What is the capital city of France?"
response = generate_text(prompt)
print(response)

This should return:

The capital city of France is Paris.

Handling a conversation

To simulate a conversation with ChatGPT, you can use a list of messages as input and append user messages and ChatGPT responses:

conversation_history = []

def ask_chatgpt(question):
    prompt = f"{question}\n{''.join(conversation_history)}"
    response = generate_text(prompt)
    conversation_history.extend([f"User: {question}\n", f"ChatGPT: {response}\n"])
    return response

# Example conversation
question1 = "What is the capital city of France?"
response1 = ask_chatgpt(question1)
print(response1)

question2 = "What is the population of Paris?"
response2 = ask_chatgpt(question2)
print(response2)

This example simulates a simple conversation with ChatGPT, asking two questions and receiving responses.

Conclusion

Remember to replace the API key placeholder with your actual API key before running the code. Happy coding!

How Can A Non IITian Get Into Google

2021-11-01T00:00:00+00:00

How Can A Non IITian Get Into Google

For students of premium institutes like IITs, job opportunities are diverse and plenty. Most of these opportunities come from campus placements.

This is because such institutes are able to attract corporate companies due to their reputed brand image. However, such is not the case with other colleges of state and private institutions. Then what about others? Do only IITians get good jobs? How can a non-IITian get into Google? If you are a non IITian and looking for how to seek job opportunities, read this article till the end.

Do only IITians get good jobs?

Out of a million engineers graduating every year, less than 5 % come from IITs. Does that mean other 95 percent do not get dream jobs?

This is as untrue as it sounds. A survey from IIT Bombay suggests that 20 % of IIT graduates in various courses remain jobless. This happens despite the brand name and fancy degrees they carry. How? Why?

This is because it all boils down to the relevant ‘skillset’ and guidance to follow the right trajectory, This ia all that it is required to get you into your dream company.

Can you get a good job without IIT?

Answer is a strong affirmative. Yes, you can be amongst those non-IITians in Google. Why not understand this with an example?

Very recently, a 21 year old non IITian from Mumbai bagged a whopping 1.2 crore job offer from Google. What made him different from the rest? The answer is his profile. He was passionate about computers and participated in more than 150 coding competitions. His profile was picked up by Google across one of such coding platforms!

So, I am sure you must have already got some insight to your question how can a non-IITian get into Google.

This exemplifies that dream companies look for passionate people. You have to put in the hard work and required rigour in the right direction. You will also need to upskill yourself at par with job profile. How to go ahead with that? We have got it covered for you.

Ways to get into Google

Being a non IITian, there are multiple ways you can get into Google without having to rely on non IIT campus placement. Some of them are:

APAC test: The test is open to any final-year student from any APAC country. Every year, between August and January, 4–5 rounds of examinations are normally conducted. They can be participated in as many times as you want. No one inquires as to which university you attended. You just do well on the tests and are contacted for an interview. This is a highly neutral method of selecting good students.
Employee referral: This approach entails having a Google India employee refer your application. This will make it stand out among the thousands of others that Google receives every day. The best-case scenario is to have a friend who works as a software engineer at Google India do it for you. Also, you do not have to know them beforehand. If you are confident enough, reach out to Google India employees through Facebook and LinkedIn who will be eager to refer you.
Online application: It’s the simplest way to apply for a SWE position, but given how competitive the industry is, it’s unlikely to get you an interview on its alone. In terms of Google India, this is the most popular manner of application: you go to the Google Jobs portal, fill out the application details, and email it together with your resume.

What next?

How can a non-IITian get into Google has one simple answer. Refining the skills required for a job like this is the most important part of process. You need to be expert in soft skills, communication skills, data structure and algorithms, data analytics and machine learning, to name a few. Technical skills are a game changer for interview processes.

Active and passionate participation in coding competitions and contests shows how active you are and brings your profile upfront.

For a data engineering job, SQL, machine learning and cloud computing are must have skillset. But with slow paced change in academic curriculum, how to gain these skills? Here is where ML Academy comes into picture with its unique KCE methodology.

What role does ML Academy play?

ML Adacemy offers courses on Machine Learning and Data Engineering on Google Cloud, Online data engineering on AWS, Google Cloud data engineering, and other data engineering skills. They are taught by expert professionals through live online classes, bringing in KCE methodology to make the training more effective. They will help you build strong foundation for clearing competitive tests and stand out in the interview process of dream companies. You can learn more about KCE process.

KCE refers to Knowledge, Certification and Expertise.

Knowledge: Live online classes by expert professionals to teach tools and methodologies emphasizing on public cloud.

Certification: Certificates help provide industry recognition and help them build the relevant profile for getting into dream industrial roles.

Expertise: While certification can help you secure an interview, employers prefer to choose people who can demonstrate that they have applied their expertise to real-world customer problems. CloudKarya, consulting arm of ML academy, has hands-on case studies to help students learn better.

We are launching a hackathon where you can participate enthusiastically and get a discount on these courses provided by ML academy. We also provide guaranteed placement opportunities to our students into top companies.

Conclusion – How can a non-IITian get into Google

With the relevant skill set in hand and determination to work hard, no dream is unachievable whatsoever. The institute does not hold value as much as your skillset or profile does. So, if you were wondering how can a non-IITian get into Google, here was your answer.

To develop those skills, ML Academy is here to assist you, as well as support you and guide you towards bagging final placement in your dream company.

About the Author

Aditi Chourey is an MBA from the Indian Institute of Management (IIM), Shillong. A mechanical engineer by qualification, a gold medalist in International English Olympiad, she is passionate about writing and has co authored a nationally released anthology. She loves to explore imagery poetry and experiment with conventional forms of writing in Hindi, English, Urdu. She is an active social worker having worked with NGOs for child welfare and holds an NSS B certificate. In her leisure time, she is an ardent reader of historical fiction and loves to explore art and aesthetics. You can connect with her on LinkedIn.

Data Engineering Course Online For College Students Free

2021-10-28T00:00:00+00:00

Data Engineering Course Online For College Students Free

The demand for data engineering has been growing sharply all over the world over the last few years. Due to the growth of social media, and the e-commerce market, a huge amount of data is being produced every day. Organizations need these raw data to be processed for their business growth and that’s why they need data engineers.

People from various other professions are also getting swayed into Data Engineering as it’s growing as one of the most in-demand professions. You must be willing to know the ins and outs of data engineering and how to become a data engineer.

Here, we will discuss data engineering and its demand, data engineering free online courses, what education do you need to be a data engineer? Which course is the best for data engineering? And, the best place to learn data engineering.

Let’s start.

What is Data Engineering?

Data engineering is a series of tasks that includes creating data pipeline, data warehousing, creating and maintaining database, collecting, storing, maintaining, and querying data, and making raw data accessible and usable to data scientists and business analysts within an organization. In simple words, data engineering is the profession that creates and maintains a system to collect and store data from other sources to analyze later.

A data engineer is an IT professional who works with numerous special fields of data science to prepare data for analysis and other operations.

Why is Data Engineering Getting Popular?

Proper usage of data and a creative analysis has become crucial for the success of business organizations and a data engineer is the one who designs the necessary mechanisms to collect and store data. Banks, Fintech companies, digital agencies, food organizations, e-commerce market everyone needs data engineers as without the data of the real-world, no business plan can be built.

Data engineering has grown as a high-paid job in India. According to PayScale, the average annual salary of a data engineer in India is 833,736 INR.

We have foreseen the data engineering and big data engineering services market to expand $39.50 billion in 2020 to $87.37 billion by 2025 at a 17.6% compound annual growth rate (CAGR).

Though data engineering is a high rising career and many people are likely to move on data engineering profession, in the last few years there are consequently chronic shortage of new talents. Data engineers’ demand has outstripped supply due to the lack of skills. People often misunderstand data engineering skills as tough and difficult to learn.

It’s high time you got some data engineering free online courses to upskill you as a potential data engineer.

Eligibility for Data Engineering

What education do you need to be a data engineer? In general, data engineering requires a bachelor’s degree from a relevant department and the skills to work with. But, it’s not necessary to have a bachelor’s degree in computer science and engineering or data science. There are lots of people working efficiently as data engineers who are from applied physics, applied mathematics, and some are even from a non-science background.

Having the required skills and efficiency to meet the job description, you can be a data engineer also. We have identified a set of hard and soft skills that employers seek in a data engineer.

If you are planning to be a data engineer, you must have a good command of programming languages, especially Python or Java. 83% of companies ask for Python with a data analysis library like Pandas or NumPy.

Strong knowledge and understanding of relational database management system like SQL, MySQL is essential for data engineering. You must have the skill to write optimal queries to quest data from the database. Data structure and algorithm are indispensable for data engineering.

Sound knowledge of ETL and REST APIs is also preferable in data engineering job.

Some soft skills, for instance, critical thinking, analytical skill, ability to convey correct information, ability to take responsibility, attention to detail, ability to make decisions, and multitasking are very important to be a potential data engineer.

Best Courses for Data Engineering

Which is the best course for data engineering? Well, it’s tough to say. Data engineering requires a couple of skills. Now data engineering is being linked up with cloud platforms. So, one must possess expertise in data engineering skills as well as a cloud platform.

Some of the best data engineering with cloud platform courses are –

Online Data Engineering On AWS,
Google Cloud Data Engineering,
AWS Certified Data Analyst Specialty

You can choose your best online data engineering course according to your knowledge and seniority level.

Data Engineering Free Online Courses

Indepth and free online data engineering courses are very helpful to start with.

ML Academy conducts a Data Engineering on the Cloud workshop for beginners. This is a 3-hour online course/workshop that will provide video classes conducted by ML Academy experts You will get a hands-on lab where you will have the experience of real-life problem-solving. No prior experience but only a fundamental knowledge of programming language and SQL is required.

Online Data Engineering on AWS is one of the best data engineering free online courses to start even if you are a college student.

Data Engineering with ML Academy

ML Academy is one of the best Machine Learning and Data Engineering training institute that offers you the best data engineering courses to upskill you. You will get some free beginner-level courses to start with.

ML Academy offers online video classes conducted by certified best trainers of the world. You will get hands-on lab experience and full access to resources. Labs will provide you with experience of real-life problem solving which is very important in a job.

ML Academy follows a successful methodology to train its apprentices, named ‘KCE Methodology’. You will gain a full fundamental knowledge, course completion certificate and the most important thing to build your carrier as a data engineer – ‘expertise’.

Conclusion

Free resources are a great way to start with. ML Academy offers data engineering free online courses, which you will never want to miss. If you are looking for a way to start your career, ML Academy is here to start your journey. Start with us to become a potential data engineer and raise high in this profession without wasting time.

Best Data Engineering Hackathon In India

2021-10-23T00:00:00+00:00

Best Data Engineering Hackathon In India

Data being the new fuel with future looking promising, the field has plenty of career opportunities to offer in data engineering, machine learning and data analytics. Accessibility to new age courses has significantly increased.

With competitive coding and hackathons getting more and more popular, you can now use them to fulfill your data engineering dream.

But how will this happen? How can you achieve your dream of being a data engineer? What can help the awareness reach every enthusiast waiting for the right opportunity? You will find the answers to all these questions by the end of this article.

What is a Hackathon ?

Hackathon is a goal centric and time constrained event, mostly a competition, where people, be it developers, designers, students or programmers, come together to solve a problem.

A hackathon’s goal is to produce working software or hardware by the end of the event. Hackathons usually have a special focus, such as the programming language used, the operating system, an application, an API, or the subject and demographic group of programmers. In other circumstances, there are no limitations on the type of software that can be developed.

For data sciences, programmers are provided with data science hackathon problem statements and work together in achieving common goal within the stipulated time period. Such hackathons can be of different types:

Online/Offline: Based on the mode of conduction, hackathons can be online conducted on a website, or offline, mostly a 24 hour event for finding creative solutions to problem statements at hand.
Application based: These hackathons focus on specialised development platforms, such as desktop operating systems, video game development, and so on.
Specific programming language: These application-specific hackathons are held to develop a certain API or framework’s functionality. Many hackathons are devoted to developing apps using a certain programming language or Application Programming Interface (API) such as JavaScript, Node.js, and others.
Industry specific: For specific industries, hackathons can play a significant role in driving innovations and bringing a new dimension to already existing products or services.

Data Engineering Hackathon in India

With All India Council for Technical Education (AICTE) directing the universities affiliated to it, to roll out courses that align with changing technologies and multiple disciplines, data science and analytics is bound to grow exponentially in the coming years.

After these instructions, the AICTE revealed that nearly 127 diploma institutes and 663 undergraduate colleges across India have chosen to offer courses in artificial intelligence (AI), data science and analytics, blockchain, machine learning, and robotics in the academic year 2019-20. Unfortunately, this accounts for only 10% of total engineering colleges in India.

The lack of awareness towards Data Science hackathons, machine learning hackathons and hackathon machine learning projects causes deprivation of upskilling junctures. The delayed and underwhelming responses of engineering colleges in updating their curriculum has driven towards easily accessible and compromised career interests.

Data Science and Machine Learning Hackathons

What can be the solution? Let us search an answer to this. Something that seems promising enough to make students aware about career opportunities in data engineering or machine learning, is a real time, full fledged data engineering hackathon. This caters to them solving real world problems and getting a practical exposure to what the world of data sciences look like, along with churning the wheels of their constructive minds for creative problem solving and then understanding and deciding, how interesting and promising the career looks like, and whether or not it fits their aspirations.

While many hackathons are conducted globally, the number of data engineering hackathons in India is very few, and hence we bring one of the best online IT training institutes providing data engineering courses conducting India’s biggest and best Hackathon competition, ML Academy, at your engineering college!

Hackathon with ML Academy

Let us first know what ML Academy offers! Courses on Machine Learning and Data Engineering on Google Cloud, Online data engineering on AWS, Google Cloud data engineering, and other data engineering are taught by expert professionals through live online classes, bringing in KCE methodology to make the training more effective. Adding cherry on cake, ML Academy ensures that your knowledge and skills find a way out in industry, by offering you the placement assistant. What else can one ask more?

With a very few hackathons in Data science and engineering, ML Academy has launched its own hackathon across India to make engineering students learn, upskill and compete to solve problems creatively.

M L Academy : Best Data Engineering hackathon in India The hackathon will be consisting of three main stages:

Qualifier quiz: In stage I, a team of 2-3 will be solving Multiple Choice Questions on Operating systems, Algorithms, etc. If performed well enough, will qualify for the second round.
Real world case: In this stage, real world business problem such as building an app or creating a dashboard will be given to the contestants.
Presentation: Finally the top teams will have to present their solutions in front of jury.
Reward: And the reward? The winning teams will receive exciting goodies from Apple and a whopping 25% discount on the courses provided by ML academy!

What else do I have?

The perks do not end here. Here is a list of ‘what else’ can you expect out of this hackathon:

Webinars: Get acquainted with basics and explore more on ‘Data science hackathon for beginners’, ‘Data science hackathons’, ‘Data engineering hackathons’ , ‘Machine learning hackathons’ and more by expert professionals in the field.
Fun activities: Learn by quizzing and interaction, building network and growing together with ML academy hackathon.
Prize for all: Yes! You read that right. For each and every participant on board, there is a 25% discount in the enrollment fee of the data engineering courses of ML academy.

Conclusion

With increasing demand for unconventional courses like data engineering and machine learning, hackathon can be the best medium to address the issue of lack of awareness amongst engineering students about these hot topics and the career in them.

ML academy is here to guide you to turn your dreams into reality with its one of a kind, best data engineering hackathon in India.

About the Author

Best Machine Learning Hackathon In India

2021-10-20T00:00:00+00:00

Best Machine Learning Hackathon In India

A special application of artificial intelligence is being practiced to provide machines the ability to automatically learn from experience and improve themselves without being explicitly programmed, known as machine learning (ML). Its main focus is the development of the program to access the data as well as learn from the huge amount of data. Machine learning hackathon is a time constrained competition to solve problems on machine learning and data science.

The excessive speed of adoption of artificial intelligence in various sectors like automotive, healthcare, government, and others has made the demand for machine learning raise globally.

Engineers and data scientists are involving themselves in machine learning more than ever. Machine learning hackathon and data science hackathon create opportunities to learn machine learning and data science competitively and put to practice what they have learned.

Here, you will find about the best machine learning hackathon in India, data science hackathon, machine learning hackathon problem statements, and ML hackathon with ML Academy.

Machine Learning Hackathon

Machine learning hackathon is time constrained a competitive learning challenge aimed at solving some specific problems on machine learning. Computer engineers, programmers, developers, data engineers, and others having related skills participate and collaborate on a specific project to show their skills.

Machine learning hackathons can be hosted by any business organization or any information technology organization or any educational institute. On successful completion of an ML hackathon prizes and certifications are given to the participants, even, in some cases, job opportunities are also offered to the champions.

This sprint-like technical event aims to find out the talented engineers or programmers who can collaborate with their team to find out real-life-based solutions by making the proper use of technology and knowledge within a short time.

Machine Learning Hackathon focuses on training and comparing existing models as well as the outcome of a tangible product with high precision performance measurements.

Why Participate in a Machine Learning Hackathon?

Hackathons are revolutionizing in building teams, innovating, and validating ideas. Machine learning hackathons have become a go-to platform where machine learning practitioners, researchers, and enthusiasts find necessary support, assistance, and tools to upskill them with practicing and solving problems with an array of datasets.

Hackathons create an opportunity to meet and compete with the finest people. This intense competition makes the scope to think out of the box and drag out the best of you enabling you for critical thinking.

A machine learning hackathon will not only enhance your skills but also increase your contact. Most of the ml hackathons offer the champions and toppers great opportunities to work with sponsor companies.

More than 80% of Fortune 100 companies use hackathons to encourage innovation today. Over 50% of hackathon recurrences. That means they are a reliable tool for sustainable innovation and identifying top talent. Also, the parameters to evaluate a machine learning hackathon are qualitatively and quantitatively unique compared to other hackathons. So, participating in a machine learning hackathon will make your resume strong that will help you to grow your career in machine learning.

Machine Learning Hackathon Problem Statements

Where can you find machine learning hackathon problem statements to practice before taking part? There are several resources on machine learning and data science to practice. Reddit and Kaggle (Google controlled machine learning hackathon platform) are among the best resources where you will find thousands of practice problems to upskill yourself.

ML Academy also provides some opportunities like practice, mocks, and bootcamp that makes the experiments easier for machine learning practitioners.

Best Machine Learning Hackathon in India

Which is the best machine learning hackathon in India? Several organizations are arranging hackathons on data science and machine learning in India. Due to the covid-19 pandemic most of the organizations are now arranging online data and ml hackathons.

Every year lots of ml and data science hackathons are being organized world-wide. It’s quite tough to say which one is best, as every hackathon comes with their own motive and goal. But you can decide the best ml hackathon for you by analyzing some criteria.

In every hackathon, you will find a motive, a goal. Consider the motive whether you are interested in the goal or not. Maximum hackathons are arranged with a hope for a greater outcome to solve some problems, in quest of some innovation. You also have to look at the opportunities they provide. Some provide job opportunities or a greater chance to work with them. Don’t forget to look at the prize money also.

Machine Learning Hackathon with ML Academy

ML Academy offers the best online courses on data engineering and machine learning with cloud computing i.e., Google Cloud Data Engineer, AWS Certified Data Analytics Specialty, FREE Online Data Engineering on AWS, etc.

To enhance your learning, fundamental knowledge and expertise ML Academy has introduced a special training methodology called KCE methodology. Knowledge, Certification, and Expertise are the three keys of this methodology. ML Academy organizes online classes prepared by certified expert professionals and hands-on lab to enhance your efficiency.

Moreover, to enhance expertise in machine learning and data science, ML Academy has launched ML hackathon across India. Their main goal is to make a competitive learning opportunity and upskill the participants to complete real-life problems creatively.

ML Academy’s hackathon consists of three stages-

Qualifier quiz – teams consisting of 2-3 members will take part in a multiple-choice question-based test to qualify themselves for the hackathon. The test will be on operating system, algorithm, programming, etc.
Problem Solving stage – qualified teams will participate in solving real-life business problems like building apps and automated management systems. Top teams will be moved to the final round.
Presentation stage – Top teams from problem solving stage will present their project to the jury. Based on the solutions and the presentation, the champion team will be announced.

Champions will receive exciting prizes from Apple and a 25% discount on the courses offered by ML Academy.

Tips for Outstanding Performance in a ML Hackathon

A strong strategy can lead toward an excellent outcome. If you are participating a ML hackathon for the first time, you need to follow some strategies for an outstanding performance.

Choosing tools – Choose the perfect programming language and tools that suit you most and in which you are expert. Python is one of the most popular programming languages for machine learning.
Build a roadmap – without a proper roadmap you cannot proceed further. Build a plan, manage resources, attending few workshops to gather experiences, practicing few easy projects will help you to go a long way.
Build an efficient team – An efficient team is the most important thing to achieve the goal. Choose a team where everyone is efficient in a particular sector. Divide the project according to their specialty.
Practice a lot – Don’t forget to do your homework. Practicing problem-solving and real-life application will give you a good perspective reaching your goal. You should work on your project presentation also.
Prepare resources – Build a prototype of your project. Prepare APIs and reusable libraries for code, that will save your time.

Conclusion

Machine learning hackathons are catalysts for innovation. ML Hikeathon is an amazing opportunity for you to showcase your machine learning abilities and talent on a real-world problem. ML hackathon is one of the best ways to practice and show the skills for those, who are pursuing machine learning as a career. Keep practicing ML hackathon problems with ML Academy for career growth in machine learning.

What Is The Gcp Cloud Engineer Certification Cost In India

2021-10-17T00:00:00+00:00

What Is The Gcp Cloud Engineer Certification Cost In India

With the growth of IT in India, cloud computing and engineering has become a good choice for career advancement. Demand for cloud computing engineers is increasing rapidly, hence engineers are getting familiar with cloud computing more than before. According to a report, India will be in need of 20 lakh cloud professionals by 2025 and probably would get around only 4 to 15 lakh cloud engineers by 2025.

You must be willing to be a part of the high rising profession by 2025 and seeking the answer to –what is GCP cloud engineer certification cost in India, or is GCP certification free? How much does a cloud certification cost? How much does it cost to take Google certification exam? You’re at the right place.

The Demand for Cloud Engineers in India

According to a report (FY2021), India holds 3rd position with 608,000 cloud engineers across the world.

According to the Times of India, there are around 6 lakh cloud practitioners in India, where 3.7 lakh have at least one cloud engineering certification. Accordingly, Forrester predicts that in 2021 the public cloud infrastructure market will expand 35% to $120 billion globally.

Payscale reports on Cloud Solutions Architect’s annual salary in India to be 2,450,000 INR annually, and Development Operations job salary in India to be 1,400,000 INR annually.

According to Times of India, cloud computing building skills increase the salary 25% more than those who only possess the run-the-cloud skills. And, by 2021, more than 50,000 new talents will join the cloud practitioner pool.

As GCP engineering is one of the most in demand career in India, you must be willing to put your name in this race. Now, your concern must be the GCP cloud engineer certification cost in India. Before we move to the GCP cloud engineer certification cost in India, let’s have a look at the GCP certification in India.

GCP Certification in India

The tech giant, Google makes opportunities across the world to upskill engineers with Google cloud training and certification, in order to ensure an efficient and successful use of cloud platform and tools.

Google offers different types of certifications according to experience and seniority level. Google has arranged its cloud certification in-

Foundational level certification,
Associate level certification
Professional level certification.

Besides, Google has brought looker certification for Looker Business Analyst and LookML Developer.

Google Cloud Fundamental Certification contains Cloud Digital Leader Certification, where no hands-on experience with Google cloud is required.

Google Cloud Associate-level Certification contains Associate Cloud Engineer Certification, where 6+ months of hands-on experience on building on Google cloud is required.

Google Cloud Professional-level Certification includes-

Cloud Architect,
Cloud Developer,
Data Engineer,
Cloud DevOps Engineer,
Cloud Security Engineer,
Cloud Network Engineer,
Cloud Collaboration Engineer,
Cloud Machine Learning Engineer,

Each of this professional-level certifications needs 3+ years of industrial experience and 1+ year to Google cloud experience.

GCP Cloud Engineer Certification Cost in India

It’s time to move on to your question. GCP certification cost in India. Is GCP certification free? No. The certification exam is not free. But you can get some free training to prepare yourself for the certification exam.

Google offers some free training on Google cloud with data analytics, cloud architecture, data science with Google cloud, and machine learning with Google cloud.

Google states on their official blog, “There are 4 initial tracks in the skills challenge: Getting Started, Data Analytics, Hybrid and Multi-cloud, Machine Learning (ML) and Artificial Intelligence (AI). Each track will give you a chance to earn different skill badges such as the Foundational Infrastructure skill badge or Foundational Data, ML, and AI skill badge, which you can share with your network. To earn a skill badge, complete a series of hands-on labs on Google Cloud labs to learn new cloud skills and take a final assessment challenge lab to test your skills.”

Google offers 30 days of free access to Google labs for a hands-on experience on training.

You will have to pay for the certification exam, albeit Google offers some free training. The certification fees differ according to the seniority level and courses.

Let’s talk about how much does it cost to take Google certification exam?

GCP Foundational Certificate:

Cloud Digital Leader– The exam will test your ability to identify the appropriate cloud solutions and Google Cloud products with the real-world scenario. The exam registration fee is $99 only.

GCP Associate Certificate

Associate Cloud Engineer– The Associate Cloud Engineer exam assesses your ability to set up a cloud solution environment, plan, configure and implement a cloud solution. This exam fee is $125 (+ vat where applicable).

GCP Professional Certificate

Professional Cloud Architect– this certification exam will assess the ability to design and plan a cloud solution architecture, design for security and compliance, analyze and optimize technical and business processes, manage implementations of cloud architecture, ensure solution and operations reliability. The exam registration fee is $200 (+ tax where applicable).
Professional Cloud Developer– The Professional Cloud Developer exam assesses your ability to design highly scalable, available, reliable cloud-native applications, build and test applications, deploy applications. The exam registration fee is $200 (+ tax where applicable).
Professional Data Engineer– This exam will assess ability to design data processing systems, operationalize machine learning models, ensure solution quality, build and operationalize data processing systems. The exam registration fee is $200 (+ tax where applicable).
Professional Cloud DevOps Engineer– this certification proves your ability to apply site reliability engineering principles to a service, optimize service performance, Implement service monitoring strategies. Registration fee for this exam is $200 (+tax).
Professional Cloud Security Certification– examines your ability to configure access within a cloud solution environment, configure network security, ensure data protection and compliance. The cost for this exam is $200 (+tax where applicable).
Professional Cloud Network Engineer– checks your ability to design, plan, and prototype a Google Cloud network, implement Virtual Private Cloud (VPC) instances, configure network services, implement hybrid interconnectivity, manage, monitor, and optimize network operations. $200 plus tax where applicable needs to be paid for this exam.
Professional Machine Learning Engineer – checks ability to architect ML solutions, frame ML problems, design data preparation and processing systems, automate and orchestrate ML pipelines, monitor, optimize, and maintain ML solutions. The exam registration fee is $200 plus tax (if applicable).

Guide to GCP Certification with ML Academy

ML Academy offers the best GCP courses to enhance your skills and grow as a successful Google Cloud Professional. Training with ML Academy will make your certification exam easier to pass.

You will learn the cloud computing fundamentals from certified best trainers which will provide you with a strong fundamental concept. In-person video classes and hands-on labs will make you an expert cloud practitioner to complete your GCP engineering certification successfully.

ML Academy has a high success rate on GCP certification. Participants have also achieved satisfactory positions at their job places.

Conclusion

Though GCP certification cost is high, it’s very helpful for our career growth in the cloud engineering profession. As GCP certifications are costly, it’s not wise to sit for the exam unless you are a skilled practitioner or professional. Training with ML Academy will help you to successfully complete your GCP certification and will make you an effective GCP professional.

Can You Become A Data Engineer Without Degree

2021-10-06T00:00:00+00:00

Can You Become A Data Engineer Without Degree

While hearing of data engineering, it may come to the mind that only tech people and engineers having BTech, MTech, BSc and MSc degrees are supposed to choose a data engineering career.

But don’t worry. If you are not from engineering and if you have an inclination towards data engineering, you can be one of the good data engineering professionals.

Even if you don’t possess a degree, after graduating from class 12th and after having some data engineering professional training, you can get into a data engineering career.

Let’s find the answers for the questions peeking at your mind. Can you become a data engineer without degree? Do you need a degree to be a data engineer? How can I start a career in data engineering? how to become a data engineer in India?

Who Can Become A Data Engineering?

A student after 12th from major in science can pursue his BSc in computer science, information technology, statistics, applied mathematics, or data science. Alternatively, you could pursue engineering or BTech in Computer Science.

Having said that, it’s not mandatory to have a degree from computer science or related fields. Anyone who can gain the skills of data engineering, like a programming language, scripting language, database design and management, etc. becomes a data engineer. You must be efficient in mathematical, numerical analysis, and logic building, as well.

Can You Become A Data Engineer Without Degree?

You must be eager to know, without a degree how can I become a data engineer in India?

Yes, while you technically can become a data engineer without a BSc degree (because its more about the skills) but it’s good to have a degree in data engineering or a related field – for the simple reason that for most companies a degree is an assurance that you have some formal foundation of the topic.

If you do not possess any degree, you have to start with the basics. To have a smooth journey in data engineering, you must possess the fundamental knowledge of computer studies. Start with the computer programming language. Fundamental knowledge of mathematics is essential to become a data engineer.

Learn python programming and a database query language like SQL. Data structure and algorithm knowledge are a must for data engineering.

These were the fundamentals of data engineering. Once you have gained efficiency on them, now it’s time to move on to some specialized work

Some of the specialized fields of data engineering are:

Data engineering with machine learning algorithms,
Data engineering with cloud computing,
Data engineering with deep learning,
Data engineering with natural language processing

How Can I Start A Career In Data Engineering?

After acquiring sufficient skills, you may be concerned about “how can I start a career in data engineering without degree?”

It’s quite impossible to get a well-paid job in data engineering without a degree. So, it’s better to join as an intern in any organization where you will get a vast opportunity to practice. This internship experience will make you the opportunity to grow your career.

It’s a good practice to get some volunteer work opportunities. You can practice with some free resources to get real-life hands-on experience. Leetcode, Pandas practice problems, Kaggle are some free resources to practice data engineering problems.

Freelance and open-source markets are good places to grow a career as a data engineer. These places don’t require any institutional degrees but skills.

It’s a good practice to participate in hackathons and competitions. It will help you to build your skills.

Having some experience of 2-3 years in open-source marketplaces, and training certificates you can apply in high-paid jobs. If you can prove yourself efficient you can get hired.

Companies That Give Opportunities To Data Engineer Without A Degree

Do you need a degree to be a data engineer? Or, do all of the companies ask for a minimum degree for data engineering jobs?

Data engineering is a job of huge responsibilities and efficiency, so, no reputed company hires a data engineer without a degree. A minimum degree in a relevant field is required for a data engineering job in top or renowned companies.

But if you do not possess any degree in computer science or a relevant degree, nothing to worry about. You can work on some open-source projects or practice data engineering as a volunteer. Many reputed organizations or companies offer opportunities and long or short-term projects on data engineering to make people skillful.

DataKind (U.S.) and Data for Good (Canada): these organizations offer volunteer opportunities for data science and analytics consulting, and project management world-wide.
Data Science for Social Good: Connects volunteer data engineers with projects needed by “social good” after reviewing the project needs.
Catchafire: a place for nonprofits that advertise for the needs of skill-based volunteer, like data analytics projects.
Statistics Without Borders: this platform organizes data engineers to help global issues through their statistical expertise.
United Nations Volunteers: they hire volunteers from all backgrounds to help projects supporting advancement worldwide, including opportunities focused on spatial/GIS, and data visualization.

Data Engineering Training With ML Academy

ML Academy is one of the best online training institutes offering the best courses to be data engineer. You will find the best courses to become a data engineer even if you don’t have a degree. ML Academy decorated their courses in order from beginner to expert level where you don’t need to have prior knowledge.

ML Academy offers well-designed courses that can help you a lot to find a data engineering role. ML Academy has created a new method of teaching named KCE methodology, for the purpose of making efficient data engineer.

Knowledge, Certification, and Expertise is the three key to make you efficient enough to reach the highest pick of your profession. Fundamental and advanced knowledge of data engineering will make you master at your job. Certification will prove your knowledge and skills. Certification will make an interview call for a job but you have to be an expert to get the job and rise high.

Conclusion

Now you shouldn’t have any confusion about can you become a data engineer without degree or not.

Though it’s necessary to have a degree in order to get a job in a reputed company, it doesn’t mean that without a degree you cannot become a data engineer at all. Don’t be broken-heart. Gain some skills in data engineering, join some open competitions. Once you have some certification and some experience in participating in a data engineering contest, you will get open-source projects and grow your career in different marketplaces.

How To Get Into Faang Companies As A Fresher

2021-10-03T00:00:00+00:00

How To Get Into Faang Companies As A Fresher

The Big 5 of Tech (Facebook, Apple, Amazon, Netflix, Google) or FAANG as they call it hire the best of the software engineers, data engineers, cyber security specialists, system and solution architects, network engineers every year from different countries.

You must be dreaming to be one of them after your graduation. But the reality is quite harder than dreams. To qualify for the job, get selected and build a dream-like career needs hard work in the right direction. Thousands of graduates apply and get prepared for a job in FAANG companies, but only the best prepared get that.

The questions like- ‘how to prepare for FAANG companies? How hard it is to get a FAANG interview? How to get into FAANG companies as a fresher?’ may peek into the mind of a fresh graduate like you. We are here to answer all of your questions and show you the right path to reach your dreams.

You will find a continuous discussion on the job types, their responsibilities, job requirements to understand how to get into FAANG companies competing with all other candidates.

Jobs in FAANG companies

FAANG companies enlist thousands of positions on their job board every year, which include business analysts, management employees, production team employees, software engineers, information security specialists, technical program managers, data engineers, data analysts, marketing or finance team members, etc.

Besides Software engineering, DevOps, Data Analytics and other technical teams, these product-based enterprises recruit for their other teams like- Administrative assistance, Design, Support, Marketing, Health-care, Finance, Accounting, Human Resource, Management, etc.

FAANG enlists thousands of jobs in different levels of seniority like- internship, new grad, junior, senior, etc. with various levels of salaries.

A salary comparison is shown between FAANG and others. Research on the FAANG companies’ salary made the comparison easier.

Fig: Entry level job salary comparison Fig: Entry level job salary comparison

Based on the above illustration, for an entry-level job, per year salaries at Google, Facebook, Oracle, and Apple are $188,000, $181,000, $176,000, and $172,000 respectively.

Requirements to Get a Job in FAANG

How do I crack FAANG companies? It’s not a cakewalk. FAANG gets the best in their industries. If you want to get into FAANG, you need to be one of the best in a particular sector.

If you want a get a job in the Big 5 of Tech, you must possess a bachelor’s degree in your relevant field. It’s not a wise attempt to try to reach a highly paid/highly sought after job without a bachelor degree. If possible, pursue a master’s degree. It will help you to grow fast in this competitive world.

To get into any of the teams like management, software engineering, data engineering, information security or any other, you need some outstanding skills, out of box thinking ability, great problem solving and discission making skills.

If you are a computer science graduate and you want to join a FAANG software engineering, or data engineering team, you need to have outstanding programming knowledge having one or two proven solid projects to make your resume strong. Sound knowledge and a good understanding of data structure and algorithm is a must.

This is inline with the KCE Process that we recommend here at the Machine Learning Academy.

Besides technical skills, FAANG companies look for good communication skills and attitude to find whether you could make yourself fit for the position. You need to convey your idea to your team and make yourself fruitful to the company.

The ability of teamwork, ability to adopt new technology, quick learning ability, ability to improve existing solutions are also very important to get into FAANG.

All of this is the core of our interview preparation and job ready programs at ML Academy.

How To Prepare for FAANG Companies

It’s a common question that ‘how to prepare for FAANG companies?’ Or, how do you become a FAANG fresher?

Pursue a bachelor degree. If you want to get into the technical team, you need a bachelor’s in Computer Science or relevant department. During your bachelor’s degree, gain sound knowledge on computer programming, data structure and algorithm, computer networking. Expertise in programming language and problem solving will make your chance to get a call for an interview.

Try to have some standard projects in your college. This will enrich your resume and will enhance the chance to get a call.

Professional training will make you an expert in your particular field. Certification will show proof of your expertise. Try to get some professional certifications like AWS or GCP. ML Academy’s courses for the same would be of great help.

Apply a position of your relevant field that suits your skills. Prepare yourself as the job requirements. Learn the missing skills and knowledge.

As a fresher try to get an internship first. Apply to FAANG as an intern in your relevant field. This internship will give you some hands-on experience and professional environment experience. These are really important to be a FAANG employee.

Update your resume. Try to learn new technologies and acquire new skills. Problem-solving skills are very important for tech guys. Keep practicing. Follow stack-overflow for problems and their solution.

It’s not an easy path to become a FAANG fresher, but if you follow the right path and gain some expertise on your field, success is ensured.

Attending Interview in a FAANG Company

For every college grad student, Facebook, Apple, Amazon, Netflix, Google are the dream employers. It’s not easy to catch the dream. How hard it is to get a FAANG interview? Of course, it is hard.

One research by Kalibrr says Google’s hiring rate is less than 1%.

According to Amazon, the e-commerce giant has now received 208,000 applicants, at the rate of more than 18 job applications per minute.

So, the path to interview is not going to be a cakewalk. But if you are an expert and follow the right way, surely you can overcome the interview.

Here are some of our advices to perform a better interview session.

Check the job description and responsibilities carefully
Make research about the company, product and business
Update the resume to make it attractive and draw the attention at a glace
Optimize your LinkedIn profile
Practice the most common questions
Also prepare yourself to talk about your previous experiences
A positive attitude makes the interview easier

Conclusion

Once you are aware of the way to touch your dream, what keeps you apart from meeting your dreams? You know how to get into FAANG companies as a fresher, you know how to prepare yourself, get a chance to set yourself into the dreaming job opportunities.

Try our data engineering and cloud computing courses to keep yourself one step ahead in this race.

How To Become Data Engineer After 12Th

2021-09-30T00:00:00+00:00

How To Become Data Engineer After 12Th

How to become a Data Engineer After 12th. That’s the question you have in your mind. Not only in India, data engineer’s demand is sharply growing world-wide to meet the demands of the complex world of digital and tech transformation. Data engineers can truly be thought of as one of the pillars of business growth and revenue making in this digital world.

Business firms, e-commerce markets, banks, insurance companies – basically anyone who wants to grow their business in digital world needs data engineering to collect, store, query the data and provide the analytics to the business management team and assist the organization to grow.

Since Data engineering is becoming an alluring career all over the world, especially in developed and developing countries – you must be willing to take a part in this high rising professional competition.

To become an expert data engineer after 12th class and enhance your skills, follow the advices mentioned in this article.

What is Data Engineering and Who is a Data Engineer?

Data engineering is the designing, developing and maintaining of the systems for useful data collection from raw data and then further warehousing, mining, storing, querying and providing the data into an accessible and useable format to analytics experts.

After successful research of real-life data engineering jobs, it can be said that data engineers are responsible for creating and maintaining data pipeline architecture, assembling complex and large amount of data sets which meet business requirements, making manual processes automatic, data delivery optimization, infrastructure maintaining and re-designing for greater scalability and improvements, etc.

Data engineers are also responsible for building infrastructure for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies. They provide the data security also and keep data separate inside multiple data centers like GCP, AWS, etc.

Data engineers create data analytics tools for business or data analytics and data scientist team to assist them in building and optimizing products to compete this advanced business age.

Why Data Engineering is Growing With a High Demand?

During the last decade, with the growth of IT industry in India, demand for data engineering is growing rapidly.

Suppose, you are building a business organization that sells products to different types of customers. If you want to survive in a competitive market, you must have to do some business analysis about your competitors, their products, market demands, client’s demand, etc. How you will get the data for analyze?

In this digital world, tons of data are all over the internet. Most of it could be useful data for you. But you cannot use them as that format they are.

You need to have a data engineering (or big data engineering) team.

These organizations need processed data or analytics tools to provide fruitful insights into client acquisition, operational efficiency and other business statistics.

Larger organizations have their own data engineering team to collaborate with their executive, product, design and business analyst team.

Now, you must be eager to know how to become data engineer after 12th in India.

Requirements to Become a Data Engineer

There are actually no pre-requisites to become a data engineer. So, you may think, can I do data engineering after 12th?

Yes. After 12th from science group, you can do your graduation in data engineering. A data engineer should have a bachelor degree on Computer Science and Engineering, Information Technology, Data Science, Statistics, Applied Mathematics or another relevant department.

A data engineer needs to have expertise in SQL and relational database management systems like MySQL, MongoDB, etc. A strong analytical skill is required to work with large volume on unstructured data. A strong programming knowledge is must, i.e., you need to be expert on Python or Java programming.

Beside the technical skills you must possess a good communication skill, presentation skill, a skill to efficiently collaborate with your colleague and other teams.

How to Become Data Engineer After 12th in India?

If you are worried about, what should I do after 12th to become data engineer? Nothing to worry at all. It’s simpler than you think.

Learn programming language and SQL as efficiently you can. Ability of making analytical logic and relationship among unstructured data is one of the key requirements to be a data engineer. Develop your numerical and analytical skills.

Try to have some major and minor projects that includes data engineering or data science.

Data structure and algorithm knowledge is a must. If you are from a different undergraduate department that doesn’t include data structure and algorithm, you need to do some professional courses on it and, obviously, build projects.

Whether you have a Bachelor degree or not the journey will be same. Expertise on data engineering tools and skills are must. A bachelor degree will reach you higher position on your career. So, it’s better to have a bachelor and master’s degree if possible.

Hands-on experience on technical tools like MySQL, data warehousing software, ETL tools will add some extra value.

Some cloud computing knowledge is so useful as modern IT industry is moving toward cloud computing.

Try to grab an internship on data engineering sooner after completing graduation. Internship will provide you real-life experience and hands-on experience on data engineering tools.

Professional certification on data science from a renowned institute will also add a high value to your resume.

How to become a big data engineer? Data engineering and big data engineering is same. You just have to be expert with big data engineering tools like Apache Hadoop, Apache Spark, MongoDB, Kafka, etc.

Data Engineering courses with ML Academy

ML Academy is one of the best cloud training institutes which provides you the best training with the lowest cost in India.

For beginners, ML Academy offers some free courses on data science to get started. They have intermediate level professional courses offered with the lowest cost.

Machine Learning and Data Engineering on Google Cloud, Online Data Engineering on AWS are 2 free workshops offered for the beginners. You can get started with these 2 workshops right away.

Google cloud data engineering is a 5 weeks online course that will provide you an expertise level knowledge, hands-on experience with projects and lab, an exam preparation only at $499.

Four Days – Online – Hands-On – AWS Certified Data Analytics Specialty is another course only at $200 which will provide you a hands-on experience, lab opportunity and vast knowledge.

ML Academy provides a unique method of teaching named as KCE Methodology. Knowledge, Certification and Expertise are 3 keys on this method which will reach you to the advance level of your career.