O’Reilly for India — Corporate Upskilling

O'Reilly for India | Corporate Team Upskilling & Training
For professionals building their career on technology

Learn from the engineers actually building what's next

Vetted, expert-authored answers and hands-on skills you can use today — not another AI tool guessing at the truth. Used by senior engineers at the world's leading technology teams.

Asked inside Microsoft Teams

"How do I set eviction policies for a Redis cache used as a session store?"

Redis in Action, 2nd Edition— Josiah L. Carlson · O'Reilly, 2024

Cited · dated · named author

Agent Teams in Claude Code with Addy Osmani — O'Reilly AI Codecon 2:25
Agent Teams in Claude Code, with Addy Osmani
A clip from O'Reilly's AI Codecon — Google's Addy Osmani on Claude Code's experimental agent teams feature.
WATCH ON YOUTUBE · O'REILLY
45+ years
of expertise
2.8M+
platform members worldwide
5K+
enterprise clients

why o'reilly

Six things that set O'Reilly apart

Everything your team needs to go from reading about a technology to shipping it.

The Owned Corpus

Books from O'Reilly and close to 200 publishers, 30,000+ hours of video, 5,000+ role-based courses — worldwide rights.

The Live Practitioner Programme

120–150 live courses a month with the people who wrote the books; 20–25 Superstreams a year.

Answers & AI

Cited responses with a named author, AI search, code explainers — answers you can actually verify.

Labs & Sandboxes

Browser-based, no setup: Python, Kubernetes, Docker, Java, Linux, SQL, and the major clouds.

Verifiable Skills

Five-level skill plans and Open Badges 2.0, plus Academies for AI, Security, Manager, Soft Skills and Data Literacy.

Enterprise Layer

SSO, SCIM, Insights, a dedicated CSM, quarterly business reviews, and Content & Insights APIs.

beyond free tutorials

Topics your team won't find on YouTube or a free blog

Written and taught by the practitioners defining the field right now — not summarized secondhand.

Agentic AI Engineering

Building production-ready AI agents — not toy demos.

Context Engineering with DSPy

The emerging discipline behind reliable, non-brittle LLM systems.

Harness Engineering for AI Agents

Making autonomous agents observable, governable and adaptive over time.

Building AI Agents with MCP

Hands-on with the protocol now powering the next wave of AI tooling.

Spec-Driven Development with Claude Code

Practitioner-led technique, not a vendor's marketing page.

Agentic Reliability Engineering

SRE practice rebuilt for infrastructure that increasingly runs itself.

how we compare

Where O'Reilly actually differs

Not a sales pitch — a side-by-side of what each option is actually built to do.

Capability O'Reilly General AI tools Udemy / Coursera LinkedIn Learning Simplilearn / upGrad
Answers cited to a named author100%36–44%
Grounded in an owned technical corpusYesNo — open webCourse content onlyCourse content onlyCourse content only
Live sessions taught by the authorYesNoNoInstructor-led, not author-led
Hands-on labs, no setupYesNoLimitedNoLimited
Verifiable, level-based skill plansYesNoCertificate onlyCertificate onlyCertificate only
Enterprise SSO / SCIM / Insights APIYesVariesYesYesVaries
Depth for technical / engineering rolesDeepShallow, search-basedBroad, shallowBroad, shallowBroad, shallow
Published, transparent enterprise pricingYesN/AVariesVariesVaries

Comparison reflects publicly available product information as of this page's publication and O'Reilly's own January 2026 benchmark for the citation row. Not an attack on any provider — most teams already use one or more of these alongside O'Reilly.

we share the knowledge of innovators

The authors your team already trusts

Not just instructors — the people who wrote the books your engineers already cite.

Wes McKinney
Wes McKinney
Creator of pandas
Martin Kleppmann
Martin Kleppmann
Author, Designing Data-Intensive Applications
Sam Newman
Sam Newman
Author, Building Microservices
Charity Majors
Charity Majors
Co-founder & CTO, Honeycomb
Neal Ford
Neal Ford
Software Architect, Thoughtworks
Addy Osmani
Addy Osmani
AI Engineering & DevRel Leader
Chip Huyen
Chip Huyen
Author, AI Engineering
Sebastian Raschka
Sebastian Raschka
ML & LLM Researcher
Liz Fong-Jones
Liz Fong-Jones
SRE & Observability Advocate
Chelsea Troy
Chelsea Troy
Sr. Staff Engineer, Mozilla

what teams say

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trusted by teams at

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as featured in

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from the radar — india edition

Expert perspectives on India's learning & AI landscape

Proposed editorial topics connecting India's technical-education landscape to where O'Reilly fits — pending author assignment and publication.

Coming soon

Why India's 2,117 GCCs Are Rewriting Their Own AI Skills Playbook

What the Nasscom-Zinnov GCC Landscape 2026 findings mean for how India centres build technical capability independent of their parent company's platform.

Author pending · India Market Entry
Coming soon

The Hidden Cost of Learning From ChatGPT: What India's Engineering Teams Are Discovering

A practitioner's look at how much time gets spent re-verifying AI answers — and what changes when the answer is cited from the start.

Author pending · India Market Entry
Coming soon

From Bootcamp to Boardroom: How India's IT Services Firms Report Learning Hours

Why "learning hours per employee" became a line item in the annual report — and what that means for how technical training gets measured.

Author pending · India Market Entry
Coming soon

What the RBI's AI Framework Means for Technical Training at Indian Banks

Reading the RBI's capacity-building requirement as an evidence problem, not just a training problem — and what CISOs are being asked to show.

Author pending · India Market Entry

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