IT JOB
Which Programming Language Should You Learn First to Get a Job?
Confused about which programming language to learn first? A practical, no-hype guide for freshers — how to pick based on your target role and the job market, with clear recommendations for India.
IT JOB
IT Career Paths for Freshers: Which Role Is Right for You?
Confused about which IT job to choose? A clear, honest guide to the main IT career paths for freshers — developer, tester, data, DevOps, cloud, security and more — with the skills each needs and realistic starting salaries.
IT JOB
How to Get Your First IT Job: The Complete Fresher's Roadmap
A complete, step-by-step roadmap to land your first IT job as a fresher — from choosing the right role to building proof, applying, cracking interviews, and handling your offer. 22 free lessons, in order.
AI
Becoming an AI Engineer: Your Recap and What's Next
You've gone from "what is AI?" to building, deploying, evaluating and securing real AI systems. This finale recaps the advanced track, defines what makes you an AI engineer, and shows how to keep growing at the frontier.
AI
On-Device AI: Running Models Locally and Privately
AI doesn't always need the cloud. Learn how to run models on your own phone or laptop — for privacy, zero API cost and offline use — the trade-offs, the tools like Ollama, and a runnable "will it fit?" calculator.
AI
Making AI Faster and Cheaper: Cost and Latency Optimization
LLM apps can get slow and expensive fast. Learn the practical levers that cut cost and latency — right-sizing models, caching, trimming context, streaming and more — with a diagram and a runnable caching demo.
AI
Multi-Agent Systems: AI Teams That Work Together
One AI agent has limits; a team of specialists can tackle far more. Learn how multi-agent systems work — specialized roles, orchestration patterns and a critique loop — with a diagram and a runnable researcher-writer-critic demo.
AI
Multimodal AI: Models That See, Hear and Speak
Modern AI isn't limited to text — it can see images, hear audio and understand video. Learn how multimodal models work through a shared embedding space, what they can do, and how to use them, with a diagram and a runnable demo.
AI
LLM Security: Prompt Injection and How to Defend Against It
The moment you give an LLM your data or tools, security matters. Learn how prompt injection works — including the sneaky indirect kind — why it happens, and the layered defenses that keep AI apps safe. A defender's guide.
AI
How to Evaluate LLMs and AI Systems: Is Your AI Good?
An AI that sounds confident can still be wrong. Learn how to actually measure LLM quality — automatic metrics, human eval, LLM-as-a-judge, RAG-specific scoring and hallucination testing — with a runnable eval demo.
AI
Build a RAG App Step by Step: A Hands-On Project
Turn the RAG theory from Lesson 22 into a real, working app. We'll build a "chat with your documents" tool in Python — chunking, embeddings, retrieval and prompting — step by step, with runnable code you can extend.
AI
Deploying AI Models: From Notebook to Production (MLOps)
A model in a notebook helps no one. Learn how to take an AI model to real users — saving it, serving it as an API, hosting it — plus the MLOps essentials that keep it alive: monitoring, drift and retraining.