Machine Learning vs Deep Learning vs AI: The Difference Explained
AI, machine learning and deep learning are nested ideas, not competitors. A plain-English comparison with examples and a table.
Plain-language guides to AI, machine learning, LLMs, full-stack development and tech careers in India, reviewed by the Careers Ninza mentor team.
AI, machine learning and deep learning are nested ideas, not competitors. A plain-English comparison with examples and a table.
A practical, step-by-step roadmap to becoming an AI engineer in India, with the skills in the right order and the projects that prove them.
Tokens, transformers, attention, pretraining and alignment: how large language models like ChatGPT and Claude actually work, in plain English.
Generative AI creates content; agentic AI takes actions. What that means for developers: tools, planning, memory, evaluation and guardrails.
How computers work with human language: the main NLP tasks, how the techniques evolved from TF-IDF to transformers, and how to start.
Yes, you can. What you need instead of a CS degree, the parts that are genuinely hard, and a realistic plan to get there.
The main AI roles in India, the skills each one needs, where hiring happens, and how to become employable from any city.
RAG grounds an LLM’s answers in your own documents. How it works, step by step, and when to use it instead of fine-tuning.
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Articles are written and reviewed by the Careers Ninza mentor team — working engineers who teach Program Zero live.
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