AI & Machine Learning

AI & Machine Learning Blog

Master AI, ML, Deep Learning, LLMs & GenAI with expert tutorials, career guides, and industry insights

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What You’ll Find in This Section

Everything we publish about artificial intelligence sits here: how the field actually hires in India, what the tools do, what the roles pay, and what it takes to move into one. It is written for people deciding whether to make the switch, and for people who already have and want to know what to learn next.

Two things we try to do differently. We put numbers in context rather than quoting the biggest figure we can find, and we say when something is not worth your time. A fair amount of AI advice online is written to make a course sound necessary. We sell a course too, so treat anything here that sounds like a sales pitch with the scepticism it deserves — and check it against the sources we link to.

If you are starting from zero, the three reading paths below are more useful than scrolling the full list.

Three Ways to Read This Blog

1. You’re deciding whether AI is the right move

Start with the career comparisons and the honest salary picture before you spend money on anything. Work out what the job involves day to day, then decide.

How to become an AI engineer · AI career comparison · AI salary in India

2. You’ve decided, and you want the learning order

The sequence matters more than the tool list. Python and the fundamentals first, then the skills employers actually screen for, then interview preparation once you have something built.

AI roadmap for beginners · Top AI & ML skills · Cracking AI interviews

3. You already work in tech and want the current stack

Skip the introductions. The useful material is on LLM engineering, prompt engineering, retrieval, and where agentic systems genuinely differ from ordinary GenAI applications.

LLM engineer career guide · AI agents vs agentic AI · What is prompt engineering

Looking for the courses rather than the writing? The AI course, generative AI course and agentic AI course pages set out the syllabus, fees and batch dates. For everything else we publish, including DevOps and data engineering, see the full blog.