Road Maps To Build Career In Artificial intelligence

 

Topics Covered:

1. **Introduction to Artificial Intelligence (AI):**

   - Definition and examples of AI in daily life, such as voice assistants, chatbots, and autonomous vehicles.

2. **AI Job Market Overview:**

   - Insights from the World Economic Forum on AI-driven job creation.

   - Current demand and supply statistics for AI professionals in India.

   - Projected growth in AI job opportunities by 2026.

3. **Educational Pathways for a Career in AI:**

   - Importance of a science background with subjects like Physics, Chemistry, and Mathematics in higher secondary education.

   - Pursuing undergraduate degrees in fields such as Computer Science, Information Technology, or specialized B.Tech programs in Artificial Intelligence and Machine Learning.

   - Overview of entrance exams like JEE for admission into premier engineering institutes.

4. **Curriculum and Skill Development:**

   - Key subjects and topics covered in AI-related degree programs, including programming, machine learning, neural networks, and big data analytics.

   - Emphasis on practical experience through workshops and projects.

5. **Advanced Studies and Certifications:**

   - Pursuing master's degrees in AI or related fields for deeper knowledge.

   - Highlighting international certification courses from institutions like Stanford University, IBM, Microsoft Azure, and platforms like deeplearning.ai and Coursera.

   - Availability of free courses and resources for continuous learning.

6. **Roles and Responsibilities of an AI Engineer:**

   - Developing AI models using machine learning algorithms and deep learning neural networks.

   - Collaborating with clients or companies to understand business insights and applying AI solutions accordingly.

   - Essential skills required, including programming proficiency, understanding of algorithms, big data technologies, and soft skills like communication and problem-solving.

7. **Career Opportunities and Salary Prospects:**

   - Various job profiles in the AI domain, such as Machine Learning Engineer, Data Scientist, AI Research Scientist, Robotics Engineer, and Big Data Analyst.

   - Entry-level and experienced salary ranges in India.

   - Notable companies and organizations actively hiring AI professionals, including tech giants, research institutions, and startups.

8. **Addressing Common Queries:**

   - Challenges in becoming an AI engineer and the importance of dedication and continuous learning.

   - Possibility of building a career in AI without a formal degree through online courses, boot camps, and practical experience.

9. **Conclusion:**

   - Encouragement to pursue a career in AI given its rapid growth and the increasing demand for skilled professionals.

   - Emphasis on the importance of staying updated with the latest developments and continuously enhancing one's skill set.

This comprehensive guide aims to provide a roadmap for individuals aspiring to build a successful career in the dynamic and evolving field of Artificial Intelligence. 

Hello Friends, Hope you are doing well,If you are a working professional and you are often in tension about whether your job will be lost due to AI, then the World Economic Forum has said that in the coming days, about 12 million i.e. 1 crore 20 lakh new jobs will be created due to AI i.e. Artificial Intelligence. India is a talent hub and by August 2023, there are about 4 lakh 16 thousand AI professionals here. But the demand is of about 6 lakh 29 thousand AI professionals, i.e. there is a lot of gap in demand and supply.

And by 2026, this demand will reach up to 1 million, i.e. this is the best time to make a career in AI or Artificial Intelligence. So let's know how you can make your career in AI. By the way, do you have to tell what AI is? Every technology that is making our work easy or doing our work is AI.

Like voice assistants, chat GPT, Amazon, Alexa or any company's WhatsApp support on Google map, where you get automatic response. Automatic robotic arms in the factory, driverless cars, all this is Artificial Intelligence. Artificial Intelligence is actually in its initial stage of development, which is to increase our ability and skills.

And LinkedIn India's Senior Director of Talent and Learning Solutions, Ruchi Anand, also believes the same. According to a report, in the coming days, job opportunities in the field of AI can increase by up to 74%. So if you or someone you know is looking at his future in Artificial Intelligence, then to do the course of Artificial Intelligence, you should have Physics, Chemistry, Maths in 10 plus 2, and further studies should be in subjects like Computer Science, IT and Electronics.

After this, by specializing in any course related to AI, you can introduce yourself in this field. If you want to study AI in any government university, then you will have to crack the entrance exam, which is a little difficult. Now let's discuss in detail.

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Speaking of qualifications, it is necessary to have a science background to make a career in AI. In India, the most common exam to get admission in any good engineering college is JEE. For this, the candidate of the general category must have 75% marks and the candidate of the SC-ST category must have a class 12 pass in Physics, Chemistry and Biology with 65%.

It is necessary to have a class 12 pass. There is no age limit for JEE main, but a candidate can attempt the exam three times in a row. After this, according to the ranking in the exam, the student gets admission in IIT, NIT, IIIT, State Level Engineering College or any private college.

After this, you have to take a Bachelor's degree in Engineering in Computer Science, like Information Technology, Computer Engineering, Statistics, Data Science etc. Or if you get a course in B.Tech in Artificial Intelligence and Machine Learning in a college, then this is a very good thing. In IIT Roorkee, IIT Guwahati, IIT Hyderabad, Chandigarh University, Lovely Professional University and UPES Dehradun, you can get courses in Artificial Intelligence and Machine Learning.

These are just a few names, you can also find colleges and universities in your state. If we talk about the syllabus of B.Tech in Artificial Intelligence in Indian colleges, then there is a lot of programming for AI, Computer Architecture, Artificial Intelligence, Foundations of Machine Learning, Applied Statistics, Computer Networks, Neural Network and Deep Learning, Robotics, AI for Humanity, Neural Language Processing, Reinforcement Learning, Big Data and Design and Analysis of Algorithms are included. Apart from this, there are also workshops and project works.

So if you want to go further in Artificial Intelligence, then you can also pursue a Master's degree in it. For this, the candidate should have a Bachelor's degree in Computer Science from any recognized university, with 50% or more marks. If we talk about the syllabus, then Computer Architecture and Organization, Data Structure and Algorithm, Mathematics for Machine Learning, Computer Networking, Database Management System, Object Oriented Programming, Internet Technologies, Advanced Data Analytics, Digital Image Processing and Big Data Technologies, such subjects are covered.

But for a better career, just a Master's degree is not enough. If you want to become an AI expert and want to give a new height to your career, then you should do certification. Because as the use of New Age AI tools is increasing, the demand for its experts is also increasing.

According to the S&P Global report, by 2028, the market for Generative AI will increase by 10 times. Now let's learn about some international certification courses. Stanford University's Stanford School of Engineering offers Artificial Intelligence Graduate Certificate courses.

On their website, you can find Artificial Intelligence, Principles and Techniques, Machine Learning, Natural Language Processing with Deep Learning, Machine Learning with Graphs, Deep Learning for Computer Vision and Reinforcement Learning. So as you choose the courses, it will cost accordingly, but the total cost of the Artificial Intelligence Graduate Certificate course is between $18,000 to $23,000. Students should have programming experience to do this course.

They should also understand similar languages such as Linux command line workflows, Java JavaScript, C, C++ and Python. Most students complete this course within 1 to 2 years. So if you find Stanford University's course expensive, then you can do the next certification for free, which is IBM AI Engineering.

In this, you can learn Deep Learning Neural Networks and Machine Learning Algorithms. In addition, deep learning models are also taught through AI tools like PyTorch and TensorFlow. By attending a 10-hour class every week, you can complete this course in 2 months.

In addition, IBM offers Applied AI Professional Program. With this, students can learn to build AI applications with minimum coding. Now let's talk about another tech giant company course.

This is the Microsoft Azure AI Engineer Associate Certification course. After completing this course, students can create Azure Platform and Azure Cognitive Services, manage and deploy AI applications. In addition, data scientists who want to use Azure for machine learning are also given training material from Microsoft.

Therefore, it is beneficial to take the Azure Data Scientist Associate course, which provides information about machine learning models. If you want to enroll yourself in high-rated AI programs, then deeplearning.ai is also a good platform. Coursera's co-founder started it.

There are all kinds of skill-level courses available here. They also have an introductory course called AI for Good and intermediate and advanced courses. In addition, you can also enroll in a free course called Natural Language Processing.

Students should have machine learning and intermediate Python programming skills. You must have heard of LinkedIn Learning. Here you will also get an in-depth course on AI fundamentals.

And there are also specific courses covering different topics of AI. So if you do a course called Artificial Intelligence Foundations, you will be able to learn how to run AI models. In addition, you can also do an in-depth certification through the Deep Learning Image Recognition course.

For this, you should have knowledge of Python and TensorFlow. Even by being associated with Google AI, you can increase your knowledge of Artificial Intelligence. Google is the leader in AI research around the world and the company issues a lot of research papers every year, which covers a lot of topics of AI.

Google AI has a machine learning crash course, which is free. And there is also an introduction to machine learning. To score 15 hours, you should have knowledge of Python and NumPy libraries.

Now, if you become an AI engineer after Bachelor, Master and Certification, then what will you have to do? Let's find out. So basically, an AI engineer, understanding the business insights of his clients or companies, and using machine learning algorithms and deep learning neural networks, develops AI models. An AI engineer should have an understanding of programming, software engineering and data science.

In addition, using different AI tools, data processing and AI systems must also be developed and maintained. So the qualities required by an AI engineer are First of all, an AI engineer should have a strong hand in programming, such as Python, R, Java and C++, so that logic can be implemented to make AI models and models can be developed. For this, it is necessary for the engineer to be fast in linear algebra, probability and statics.

AI engineer often has to work with large volume data, whose streaming and real-time production level data reaches up to 13 bytes or petabytes. So, to handle such data, Spark and many other big data technologies require expertise, such as Apache Spark, Hadoop, Cassandra and MongoDB. You can check the big data documentaries on another You can follow Blogger Website of me, you can subscribe YouTube channel InfinityStream, or you can also subscribe to InfinityStream.tv. In addition, to implement machine learning models, you should have a deep knowledge of algorithms and frameworks.

Because big volume data is often available in unstructured format, which requires understanding of machine learning models such as Neural Network, Recurrent Neural Network and Generative Adversarial Network. So, in addition to technical skills, to become a team player, an AI engineer must have good communication skills, problem-solving abilities, time management, teamwork, critical thinking ability and business intelligence. Artificial intelligence is a bright future career field.

Whether it is designing, business, education, research and development, automobile medical, AI is being used everywhere. In India, even at the entry level, an AI professional easily gets an yearly package of 8 to 10 lakhs as an average salary. At the same time, with good experience, you can also get a package of up to 50 lakhs yearly.

This will depend a lot on your knowledge and skills. Amazon, Microsoft, Google, IBM, Tata, Bosch, Cognizant, Capgemini, L&T, ISRO, DRDO and many Indian-based AI startups are also hiring Indian AI engineers. Now, if you have any doubts in your mind, let's get rid of it.

Like, is AI engineer hard? The answer is yes. AI engineering is challenging, especially for those who are new in this field and have limited experience in computer science, programming and mathematics. But with the right training, practice and dedication, you can become a proficient in AI engineering.

If your next question is whether a career can be made in artificial intelligence without a degree, then the answer is, it is a very good thing if you have a degree in this field. But with a lot of online courses, boot camps and other training programs, you can get the practice experience of AI development. But for that, having a solid foundation of computer programming, data structure and algorithm understanding is very important.

Now let's learn about some such job profiles on which an AI professional can work. Machine Learning Engineer A machine learning engineer has the expertise to develop and deploy self-running software. Automated productive models are made from such software solutions.

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As an educational qualification, you should have knowledge of computer science, data programming, mathematics and related fields. The entry-level annual salary on this profile is Rs. 3 lakh.

If we talk about data scientists, data collection, analysis and complex data processing work on this profile. For this, you have to use analytical and statistical AI tools. For this, a bachelor's degree or master's degree in data science is very important.

And the entry-level salary is Rs. 5 lakh per year. An AI research scientist's job is to experiment on the existing models of artificial intelligence and develop new algorithms.

In simple terms, it is the job of an AI research scientist to improve and modify The entry-level annual salary on this profile is Rs. 3 lakh to 4 lakh. In addition to all this, roles such as robotics engineer, UX designer, big data analyst and business intelligence developer are also offered to AI experts.

If you are an AI enthusiast, you will be excited to know that according to the job listing website Indeed, between July 2021 and July 2023, 250% increase in job postings related to Generative AI. I hope you have got a lot of information about creating a career in AI. If this content has answered a lot of your questions, has given clarity, then like and share it.

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