12 chapters. 133 curated resource links already embedded. 3 graduated examples per concept — analogy, IT job scenario, enterprise production scale. One PDF. One clear path from "I've heard of ChatGPT" to genuinely understanding how AI works in your role.
All resources are curated from the internet — Andrew Ng, Andrej Karpathy, Google, Anthropic, DeepLearning.AI. We spent 40+ hours finding, verifying, and sequencing them so you don't have to open a single extra tab.
Instant PDF download · No platform · No subscription · Yours permanently
Andrew Ng's ML Specialization. Andrej Karpathy's LLM walkthrough. Anthropic's agent engineering guide. Google's Prompt Engineering whitepaper. The original "Attention Is All You Need" paper. It's all out there — free, world-class, made by the best in the field.
We didn't write it. We found it, verified it, sequenced it, and built it into a structured PDF for IT professionals — not researchers, not data scientists, not PhD students. You.
40+ hours of curation. An IT-specific learning sequence. 133 resource links — named, timed, free/paid labelled — already embedded inside your PDF. You open one file and know exactly what to learn, in what order, and where to go next.
The alternative is free. It's also 12 open tabs, three half-finished courses, and six months of "I'll get to it properly soon."
You know you need to learn AI. You open a browser and the overwhelm starts immediately — which YouTube channel, which course, which framework, which order? An hour later you've got 12 tabs open and learned almost nothing useful.
In March 2026, Oracle terminated 20,000–30,000 IT employees in a single morning to fund AI infrastructure. These were not junior roles — ops engineers, SaaS support, reporting analysts, entire teams. The IT professionals who kept their jobs already understood how to work with AI. The ones who didn't, didn't have time to figure out where to start.
The problem isn't that good AI learning material doesn't exist. It does. But it's scattered across 50 different platforms, in no particular order, with no connection to the actual IT work you do every day.
CoreAI eBook 1 solves exactly this. Every concept in the right order. Every chapter ending with the best external resources — named, linked, verified April 2026. One PDF. One clear path. Nothing missing.
Every chapter follows the same structure: a plain-English analogy, a realistic IT job scenario, then a full production-scale system. Every single concept. All 12 chapters. Here's one example from Chapter 9:
An agent tags each incoming alert before paging on-call. 2 min saved × 100 alerts/day = 200 min saved daily.
Fetches logs + Datadog metrics + past postmortems → posts root cause in 2 minutes vs 45.
Detects DB out of disk → archives data → frees 180GB → resumes replication → notifies DBA. 4 minutes. Zero human intervention.
All 12 chapters. Every concept. Three levels every time. By the end you don't just know what these things are — you know exactly how to use them in your work.
Every chapter ends with a hand-picked resource panel — the actual YouTube video name, the course link, runtime, and whether it's free or paid. Not "search for this." The exact link. Already there.
Resources include Andrew Ng's ML Specialization, Andrej Karpathy's LLM intro, DeepLearning.AI short courses, Anthropic's agent engineering guide, OWASP's LLM Top 10, Google's Prompt Engineering whitepaper — all curated for IT professionals, not researchers.
CoreAI is not written for researchers or ML engineers. It's for the IT professionals who build, run, test, secure, and manage the systems that AI is now changing.
From Copilot basics to building an autonomous PR review system — Security, Performance, and Style agents in parallel, posting structured reviews in 45 seconds.
From AI-generated Gherkin test cases to a full sprint QA pipeline that reads Jira tickets, writes Playwright tests, analyses failures, and blocks failing PRs automatically.
From natural language to SQL, to a codebase-aware SQL assistant with pgvector semantic schema search and a safety layer that blocks DROP/DELETE without approval.
Incident response agents, autonomous P1 remediation, MLOps pipelines, drift monitoring, and AI security checklists for every deployment.
Prompt injection attacks, RAG poisoning, AI red-teaming methodology, OWASP Top 10 for LLMs, and a production AI security checklist.
The AI tools landscape, how to evaluate LLMs for your stack, and the three waves of AI impact — so you lead the transition, not react to it.
No. Chapter 1 starts from scratch. Every concept opens with a plain-English analogy before moving to your job context. The 3-level structure is designed exactly for this.
Yes — and we actively encourage you to use those free resources. Every single one is linked inside the PDF. What CoreAI gives you is the sequence, the IT framing, and 40+ hours of curation already done. At ₹299, that's the trade.
Structured PDF eBook. Download once, read on any device, keep permanently. The best videos and courses are embedded as clickable links inside the PDF.
The Difficult examples in every chapter are production-scale enterprise systems — even experienced IT professionals find those sections valuable. Plus the 90-day role roadmap is useful regardless of starting point.
Instant access to AI Foundations for IT Professionals — 12 chapters, 133 verified resource links, 90-day role roadmap. PDF download. No platform. No subscription.
Every resource link was individually verified in April 2026. If you find a broken link, email us and you'll get the updated version immediately — no questions asked.
Instant PDF download · No platform · No subscription · Yours permanently
CoreAI gives you everything in one place. The concepts, the examples, and 133 resources — curated from the world's best sources, sequenced for IT professionals, verified April 2026. Start this weekend and you will finish eBook 1 by Monday.
eBook 1 gives you the foundation. eBook 2 is where you go from understanding AI to actually building with it — Transformers, Fine-Tuning with LoRA, RAG systems from scratch, AI Agents, Multi-Agent Systems, MLOps pipelines, and role-specific 4-week projects you can actually ship.
✓ 13 advanced chapters — Deep Learning to production AI systems
✓ RAG systems built from scratch — 7-step pipeline with open-source tools
✓ AI Agents + Multi-Agent Systems in IT operations
✓ MLOps — notebook to production, drift monitoring, governance
✓ AI Security & Red-Teaming — prompt injection, RAG poisoning, OWASP Top 10
✓ Role-specific 4-week projects — Developer, QA, DBA, DevOps (shippable work)
✓ 68 verified resource links — all embedded, verified April 2026
Instant PDF download · Added to your order
The complete revision companion — concept reviews with 3-level examples, 35 practice questions with full answer explanations, a cheat sheet covering all key topics, and all top resources consolidated in one place.
✓ Full concept review — every topic with 3-level examples
✓ 35 practice questions with complete answer explanations
✓ Topic cheat sheet — quick reference for all key concepts
✓ Pro exam shortcuts — security, drift, agents, temperature rules
✓ Top resources from both eBooks consolidated in one place
Instant PDF download · Added to your order