Home > Career > Question
Need Expert Advice?Our Gurus Can Help

Aspiring AI Enthusiast Seeking Career Guidance: How Can I Make a Smooth Transition into the Field?

Onkar

Onkar Singh  | Answer  |Ask -

Career Management, Skills Development Expert - Answered on Oct 10, 2024

Onkar Singh is the global corporate citizenship strategy and programmes manager (data and reporting -- M&E, lead) at Accenture. He has more than two decades of experience in corporate social responsibility, sustainability, data and reporting. He has expertise in the management of NGOs and corporate foundations. He mentors young professionals in the areas of career management, skills development, personal and community development and DEI (diversity, equity and inclusion) issues. Onkar holds a bachelor's degree in mathematics from St Columba’s College, Hazaribagh, and an MBA from XISS, Ranchi. He also holds a master’s degree in international affairs from Columbia University's School of International and Public Affairs, New York.... more
Rpy Question by Rpy on Oct 07, 2024Hindi
Listen
Career

How to build your career in AI?

Ans: This is a broad question. You need to share your academic background, skills, experiences etc for further advice.
Career

You may like to see similar questions and answers below

Dr Dipankar

Dr Dipankar Dutta  |1840 Answers  |Ask -

Tech Careers and Skill Development Expert - Answered on Nov 05, 2024

Harsh

Harsh Bharwani  | Answer  |Ask -

Entrepreneurship Expert - Answered on Dec 20, 2024

Listen
Career
Guideand roadmap of AI career for beginners
Ans: Pursuing a career in Artificial Intelligence (AI) is a great decision, as the field has immense growth potential and can transform various industries. AI is reshaping sectors like healthcare, finance, automotive and retail, making it an extremely sought-after skill in today's job market. According to industry reports, the global AI market is projected to grow at a compound annual growth rate (CAGR) of over 30%, with the demand for AI professionals expected to grow by more than 40% in the next decade.

With AI expanding rapidly, the demand for skilled professionals is growing faster than the supply. Roles like AI engineer, machine learning engineer, data scientist and NLP specialist are not only in high demand across industries, they are also offering competitive salaries and advancement opportunities. These roles are crucial for building intelligent systems that improve business efficiency, enhance user experience and solve complex problems.

As an AI professional, you'll have the chance to work on cutting-edge technologies such as natural language processing (for creating chatbots and virtual assistants), computer vision (for image recognition and autonomous vehicles), and deep learning models (for voice recognition and predictive analytics). The skills you develop in this field will enable you to contribute to groundbreaking innovations and have a positive impact on society.

The career path typically begins with building a strong foundation in programming, especially Python, and mathematics, including linear algebra and statistics. Once you've mastered these basics, you can explore specializations such as machine learning, deep learning, and computer vision or NLP. Continuous learning is essential because AI is constantly evolving, so you'll need to stay updated on the latest research and techniques.

The future scope of AI is vast, covering sectors such as healthcare (personalised medicine, predictive diagnostics), finance (fraud detection, algorithmic trading) and manufacturing (automation, smart systems). Additionally, if you are interested in developing an AI-powered product or startup, AI offers ample opportunities for entrepreneurship.

Job growth in AI is fueled by the increasing adoption of AI technologies in small and large business operations and everyday applications. Companies are leveraging AI for automation, predictive analytics, customer insights, and intelligent systems. Key industries such as healthcare use AI for predictive diagnostics and personalized treatment plans, while finance relies on AI for fraud detection and algorithmic trading. In manufacturing, AI drives automation and smart systems, significantly enhancing efficiency and productivity.

Ultimately, a career in AI not only offers future-secure employment but also the chance to contribute to the transformational technologies that define the modern world. It is a field where constant innovation means there is always something new to learn and create, providing long-term growth and satisfaction.

..Read more

Dr Karan

Dr Karan Gupta  | Answer  |Ask -

International Education Counsellor - Answered on Jun 26, 2025

Career
I am a retired professional with 35+ years of experience in cement industry and power electronics and embedded systems production.I am working as a freelance consultant.I am an electronics engineering graduate with experience in electrical and instrumentation in cement plants,in addition to power electronics and also emebedded systems production.I want to develop myself in AI.please guide me how shall I proceed ? Thanks.
Ans: Here’s a simple step-by-step path you can follow to get started in AI:
1. Start with Python – Since you have a technical background, learning Python will be easy. It’s the main language used in AI. Use beginner-friendly platforms like Coursera or Udemy.
2. Learn AI Basics – Begin with the basics of machine learning (ML), which is a core part of AI. A good course is Andrew Ng’s ML course on Coursera.
3. Explore Practical Tools – Learn tools like TensorFlow or PyTorch (for ML models) and basic data handling using Pandas and NumPy.
4. Focus on Projects – Try small hands-on projects like predictive maintenance (can relate to your industry), image recognition, or control systems using AI. This will bridge your domain knowledge with AI.
5. Join AI Forums or Groups – Connect with AI communities, maybe even ones for professionals in engineering fields. You’ll learn a lot from discussion and real problems.
6. Optional: Certifications – If you want formal recognition, go for AI certifications from IBM, Google, or Microsoft.
Since you’re already a consultant, you could eventually apply AI to industrial automation, fault detection, or predictive analytics in cement and power sectors.
Go step by step—don’t rush. Even 1 hour a day will help you grow steadily.

..Read more

Latest Questions
Nayagam P

Nayagam P P  |10854 Answers  |Ask -

Career Counsellor - Answered on Dec 14, 2025

Asked by Anonymous - Dec 12, 2025Hindi
Career
Hello, I am currently in Class 12 and preparing for JEE. I have not yet completed even 50% of the syllabus properly, but I aim to score around '110' marks. Could you suggest an effective strategy to achieve this? I know the target is relatively low, but I have category reservation, so it should be sufficient.
Ans: With category reservation (SC/ST/OBC), a score of 110 marks is absolutely achievable and realistic. Based on 2025 data, SC candidates qualified with approximately 60-65 percentile, and ST candidates with 45-55 percentile. Your target requires scoring just 37-40% marks, which is significantly lower than general category standards. This gives you a genuine advantage. Immediate Action Plan (December 2025 - January 2026): 4-5 Weeks. Week 1-2: High-Weightage Chapter Focus. Stop trying to complete the entire syllabus. Instead, focus exclusively on high-scoring chapters that carry maximum weightage: Physics (Modern Physics, Current Electricity, Work-Power-Energy, Rotation, Magnetism), Chemistry (Chemical Bonding, Thermodynamics, Coordination Compounds, Electrochemistry), and Maths (Integration, Differentiation, Vectors, 3D Geometry, Probability). These chapters alone can yield 80-100+ marks if practiced properly. Ignore topics you haven't studied yet. Week 2-3: Previous Year Questions (PYQs). Solve JEE Main PYQs from the last 10 years (2015-2025) for chapters you're studying. PYQs reveal question patterns and difficulty levels. Focus on understanding why answers are correct, not memorizing solutions. Week 3-4: Mock Tests & Error Analysis. Take 2-3 full-length mock tests weekly under timed conditions. This is crucial because mock tests build exam confidence, reveal time management weaknesses, and error analysis prevents repeated mistakes. Maintain an error notebook documenting every mistake—this becomes your revision guide. Week 4-5: Revision & Formula Consolidation. Create concise formula sheets for each subject. Spend 30 minutes daily reviewing formulas and key concepts. Avoid learning new topics entirely at this stage. Study Schedule (Daily): 7-8 Hours. Morning (5:00-7:30 AM): Physics concepts + 30 PYQs. Break (7:30-8:30 AM): Breakfast & rest. Mid-morning (8:30-11:00): Chemistry concepts + 20 PYQs. Lunch (11:00-1:00 PM): Full break. Afternoon (1:00-3:30 PM): Maths concepts + 30 PYQs. Evening (3:30-5:00 PM): Mock test or error review. Night (7:00-9:00 PM): Formula revision & weak area focus. Strategic Approach for 110 Marks: Attempt only confident questions and avoid negative marking by skipping difficult questions. Do easy questions first—in the exam, attempt all basic-level questions before attempting medium or hard ones. Focus on quality over quantity as 30 well-practiced questions beat 100 random questions. Master NCERT concepts as most JEE questions test NCERT concepts applied smartly. April 2026 Session Advantage. If January doesn't deliver desired results, April gives you a second chance with 3+ months to prepare. Use January as a practice attempt to identify weak areas, then focus intensively on those in February-March. Realistic Timeline: January 2026 target is 95-110 marks (achievable with focused 50% syllabus), while April 2026 target is 120-130 marks (with complete syllabus + experience). Your reservation benefit means you need only approximately 90-105 marks to qualify and secure admission to quality engineering colleges. Stop comparing yourself to general category cutoffs. Most Importantly: Consistency beats perfection. Study 6 focused hours daily rather than 12 distracted hours. Your 110-mark target is realistic—execute this plan with discipline. All the BEST for Your JEE 2026!

Follow RediffGURUS to Know More on 'Careers | Money | Health | Relationships'.

...Read more

Dr Dipankar

Dr Dipankar Dutta  |1840 Answers  |Ask -

Tech Careers and Skill Development Expert - Answered on Dec 13, 2025

Asked by Anonymous - Dec 12, 2025
Career
Dear Sir/Madam, I am currently a 1st year UG student studying engineering in Sairam Engineering College, But there the lack of exposure and strict academics feels so rigid and I don't like it that. It's like they don't gaf about skills but just wants us to memorize things and score a good CGPA, the only skill they want is you to memorize things and pass, there's even special class for students who don't perform well in academics and it is compulsory for them to attend or else the student and his/her parents needs to face authorities who lashes out. My question is when did engineering became something that requires good academics instead of actual learning and skill set. In sairam they provides us a coding platform in which we need to gain the required points for each semester which is ridiculous cuz most of the students here just look at the solution to code instead of actual debugging. I am passionate about engineering so I want to learn and experiment things instead of just memorizing, so I actually consider dropping out and I want to give jee a try and maybe viteee , srmjeee But i heard some people say SRM may provide exposure but not that good in placements. I may not be excellent at studies but my marks are decent. So gimme some insights about SRM and recommend me other colleges/universities which are good at exposure
Ans: First — your frustration is valid

What you are experiencing at Sairam is not engineering, it is rote-based credential production.

“When did engineering become memorizing instead of learning?”

Sadly, this shift happened decades ago in most Tier-3 private colleges in India.

About “coding platforms & points” – your observation is sharp

You are absolutely right:

Mandatory coding points → students copy solutions

Copying ≠ learning

Debugging & thinking are missing

This is pseudo-skill education — it looks modern but produces shallow engineers.

The fact that you noticed this in 1st year already puts you ahead of 80% students.

Should you DROP OUT and prepare for JEE / VITEEE / SRMJEEE?

Although VIT/SRM is better than Sairam Engineering College, but you may face the same problem. You will not face this type of problem only in some top IITs, but getting seat in those IITs will be difficult.
Instead of dropping immediately, consider:

???? Strategy:

Stay enrolled (degree security)

Reduce emotional investment in college rules

Use:

GitHub

Open-source projects

Hackathons

Internships (remote)

Hardware / software self-projects

This way:

College = formality

Learning = self-driven

Risk = minimal

...Read more

DISCLAIMER: The content of this post by the expert is the personal view of the rediffGURU. Investment in securities market are subject to market risks. Read all the related document carefully before investing. The securities quoted are for illustration only and are not recommendatory. Users are advised to pursue the information provided by the rediffGURU only as a source of information and as a point of reference and to rely on their own judgement when making a decision. RediffGURUS is an intermediary as per India's Information Technology Act.

Close  

You haven't logged in yet. To ask a question, Please Log in below
Login

A verification OTP will be sent to this
Mobile Number / Email

Enter OTP
A 6 digit code has been sent to

Resend OTP in120seconds

Dear User, You have not registered yet. Please register by filling the fields below to get expert answers from our Gurus
Sign up

By signing up, you agree to our
Terms & Conditions and Privacy Policy

Already have an account?

Enter OTP
A 6 digit code has been sent to Mobile

Resend OTP in120seconds

x