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Hello everyone,

I want to share some thoughts about learning Generative AI and get opinions from people who are already working in AI, data science, or related fields. These days, AI is everywhere. From ChatGPT and AI content tools to chatbots and automation, it feels like every industry is exploring how to use AI.

I have been looking into a Generative AI course in Chandigarh, but I still have a few questions.

Is it really worth learning Generative AI in 2026? Can a fresher build a career in this field? And how important is practical training compared to theory?

I think many students and working professionals have similar questions.

What should you learn in a Generative AI course?

In my opinion, learning how to use AI tools is only the starting point. If someone wants to build a career in this field, they should also understand Python, data science fundamentals, machine learning, large language models, and how AI applications work.

Practical projects are equally important. For example, building a simple AI chatbot or a tool that answers questions from documents can help you understand how these technologies are used in real situations.

A course should not just be about watching demonstrations. Students should get opportunities to practise, solve problems, and ask questions when they get stuck.

Is an AI and ML course better than a Generative AI course?

I think this depends on your career goals.

An AI and ML course can help you understand machine learning concepts, data, algorithms, and model evaluation. A Generative [url]AI course in chandigarh may focus more on language models, prompt engineering, AI APIs, and applications that generate content.

For beginners, a course that builds strong fundamentals before moving to advanced topics may be a better starting point.

What about learning at an institute in Chandigarh?

While comparing training options, I came across Netmax and its Data Science using Python with Generative AI course.

One student, Karunesh Bansal, shared a positive review of his learning experience. He mentioned that the trainers explained concepts in a simple and practical way. He also appreciated the hands-on practice and the support he received when clearing doubts.

I think these are useful things to consider when choosing an institute. Of course, every student's experience can be different, so it is important to check the current syllabus, practical projects, course fees, and teaching approach before enrolling.

What challenges should beginners expect?

I do not think learning AI is always easy.

Python programming can take time to understand. Projects may not work on the first attempt, and AI models can sometimes produce incorrect answers. You also need to learn how to test your results instead of blindly trusting them.

This is why regular practice matters. A certificate may help show that you completed a course, but being able to explain your projects and demonstrate your skills is much more useful.

My questions for people in this field:

Is a Generative AI course worth it for freshers in 2026?

Should beginners learn Python and machine learning before Generative AI?

What practical projects should students build for their portfolios?

Is classroom training helpful, or is self-learning enough?

What skills do employers actually look for in entry-level AI roles?

I would appreciate honest opinions from students, working professionals, and anyone who has completed an AI or ML course.

I am especially interested in real experiences, including the challenges people faced while learning and what helped them improve.

Thanks for sharing your thoughts.