INR prices reflect India purchasing power parity (PPP) — our standard India pricing.
Active Courses
Live and self-paced cohorts for builders who want to design, evaluate, and deploy AI systems with confidence.
Mastering Claude Cowork
Go from chatbot user to AI-delegated workflows. Learn Claude Cowork's desktop automation, connectors, plugins, and Dispatch mobile control through 7 hands-on modules.
Now open in offline mode (no live sessions) due to high demand — enroll anytime and earn the same certificate.
- Delegating real tasks to Claude instead of prompting for text
- Granting safe, scoped folder and tool access
- Writing goals instead of step-by-step instructions
Mastering Claude Code — From CLI to Loop Engineering
A deep, practitioner-first curriculum built on the real workflows Anthropic engineers use internally — including the latest and hidden gems most tutorials skip entirely. Goes well beyond the official docs.
Now open in offline mode (no live sessions) due to high demand — enroll anytime and earn the same certificate.
- Structuring CLAUDE.md and managing context like a scarce resource
- Writing deterministic hooks instead of relying on advisory instructions
- Building reusable skills, slash commands, and plugins
Mastering Agentic AI — From First Agent to Production Loop
A deep, practitioner-first curriculum covering the full agentic stack — model selection, tool design, protocols, memory, planning, observability, evals, multi-agent orchestration, computer use, and security.
Now open in offline mode (no live sessions) due to high demand — enroll anytime and earn the same certificate.
- Choosing and routing reasoning engines for agentic workloads
- Designing tools, interfaces, and risk ratings agents use correctly
- Wiring agents together with MCP, A2A, ACP/UCP, and AGENTS.md
Build Your Own LLM — From 300 Lines to Frontier Architecture
A practitioner-first curriculum covering the complete LLM stack — from autograd and tokenisation through Transformer architecture, systems engineering, scaling laws, data curation, distillation, RL and alignment, mechanistic interpretability, and evaluation science. Every concept in working Python.
Now open in offline mode (no live sessions) due to high demand — enroll anytime and earn the same certificate.
- Building a scalar autograd engine and understanding reverse-mode autodiff from first principles
- Implementing GPT-2 from raw tensor ops and a LLaMA-style model with GQA, RoPE, and SwiGLU
- Writing a FlashAttention kernel in Triton and reasoning about the Roofline model for GPU-bound workloads
Mastering Marketing for AI Native Products
A practitioner-first curriculum for marketing AI-native products — owning the answer in GEO/AEO, designing for machine and agent buyers, building an AI-native marketing stack, and shipping a full go-to-market plan.
Now open in offline mode (no live sessions) due to high demand — enroll anytime and earn the same certificate.
- Owning the answer: optimizing for GEO/AEO so LLMs cite and recommend your product
- Designing for machine and agent buyers, not just human ones, across B2B and B2C flows
- Building an AI-native marketing stack — multi-agent workflows in place of campaign-era tooling
Mastering AI for the CFO Function
A practitioner-first curriculum for CFOs and finance leaders — governing AI costs, procuring models, running agentic finance workflows, and navigating compliance in a world where every AI call is a metered line item.
Now open in offline mode (no live sessions) due to high demand — enroll anytime and earn the same certificate.
- Modelling and governing AI costs that scale with cognitive work rather than provisioned infrastructure
- Instrumenting spend at the application layer and building chargeback frameworks that allocate AI costs to business units
- Prompt and context cost engineering — compression, semantic caching, and governance gates
Mastering AI for Marketers
A practitioner-first curriculum for marketers — covering prompting, AI content creation, visual and multimedia tools, marketing agents, GEO/AEO search visibility, cookieless attribution, consumer trust, and AI-powered personalization and growth.
Now open in offline mode (no live sessions) due to high demand — enroll anytime and earn the same certificate.
- Prompting for brand voice, tone, and team workflows — including system prompts and prompt playbooks
- Producing content at scale across long-form, social, email, video, and audio without losing brand quality
- Using image generation, AI video, and voice tools for marketing creative with consistent brand QA
We didn't dumb them down. We opened them up.
Our live cohorts filled up fast. Too fast. Hundreds of engineers on waitlists, dozens of messages asking when the next batch would run — seats were the bottleneck, not the content. So we made a decision: keep everything that made the cohorts work, strip everything that required a fixed schedule, and release them at a price that removes every excuse not to start.
Capstone — build something real
Every course ends with a capstone project you designed and shipped. Not a toy exercise — a real system you can demo, deploy, and put on your LinkedIn. The same capstone bar our live cohort students meet when they walk into interviews.
Written lesson notes — not just a transcript
Every lesson comes with dense, hand-written notes. The kind you'd write if a senior engineer walked you through every concept slowly. Read them offline, search them later, revisit the tricky bits without scrubbing through video.
Quizzes — know what you actually know
Checkpoint quizzes after every module so you can tell the difference between "I think I got that" and "I can explain this to someone else." Fast. Honest. No grade-school busy-work.
These were never meant to be “lite” versions. The live cohorts were just expensive to run — small groups, live sessions, calendar coordination. When the waitlists crossed 500 names, it became obvious: the best thing we could do was remove the bottleneck, not reduce the quality. The self-paced versions carry the same curriculum, the same capstone bar, the same certificate — minus the live overhead. We passed that straight through as a discount.
The cohort price covered the live experience. This price covers the learning.
What You'll Build
Every course ends with a real project — something you can put in a portfolio, reference in an interview, or use in your actual work.
Personal AI Operating System
A suite of AI workflows that handles your daily professional tasks — drafting, research, summarisation, and decision support.
Reusable Prompt Playbook
A personal library of structured prompts for the outputs you produce most — writing, analysis, code review, and more.
AI-Assisted Coding Workflow
A full coding workflow powered by Claude Code — from spec to tested, reviewed, and deployed output.
Tool-Using Production Agent
An agent that can search, reason, call APIs, and maintain context across a multi-step task.
Mini Transformer Training Pipeline
A small language model built from scratch — tokeniser, attention mechanism, training loop, and inference.
What you graduate with
Every student finishes with tangible proof of work — not just a course completion tick.
Certificate of Completion
This certifies that
Your Name
has completed
Agentic AI
and shipped their capstone project:
“Tool-Using Production Agent”
Issued by
skilling.academy
Year
2026
Shareable on LinkedIn
The certificate includes your name, the course, and your capstone project title — designed to be added directly to your LinkedIn profile and CV.
Real projects from our students
Autonomous RFP Responder
Aditi S. · Product Manager
Multi-agent system that ingests thousands of legacy docs and drafts compliant RFP responses in minutes.
Miniature Code Assistant (1.5B)
Rahul K. · Backend Engineer
Custom-trained 1.5B transformer for Python code generation, with full training pipeline from BPE tokeniser to inference.
Customer Support Auto-Triage
Neha M. · Operations Lead
Classifies and routes 50,000+ monthly support tickets without manual intervention, with human-in-the-loop handoff.
How it works
Courses are structured around real outputs. You finish each one with something you built, not just something you watched.
Bridging the gap between tutorials and production.
Traditional bootcamps teach too slowly. Self-paced courses leave you stuck without feedback. We teach from first principles, in small groups, focused on outputs you can use immediately.
Fundamentals-First Architecture
We don't just teach tools; we teach you how to build them. Master the 'why' behind the 'how'.
Accelerate Your Build
Move past 'dependency hell' and hallucinatory loops with direct architectural intuition from lead engineers.
Capstone-Centric Learning
Every module culminates in a live project. Ship code to private repos and build a high-signal portfolio.
Production Excellence
Go from 'Hello World' to production-grade systems with scientific rigor and evaluation frameworks.
Who is this for?
AI Fluency Track
Non-coders & managersNo coding required. Learn to use AI tools confidently in your professional work — automating tasks, writing better prompts, and building personal workflows that save real time.
Claude Cowork · Prompting
AI Builder Track
Developers & analystsYou can write code. Learn to build AI-assisted workflows, ship with Claude Code, and create agents that handle multi-step tasks. Go from using AI to directing it.
Claude Code · Agentic AI
AI Engineer Track
Experienced engineersStrong engineering background. Build from first principles — implement attention, training loops, and production inference pipelines. Understand how LLMs actually work.
Build Your Own LLM
What's included
Everything in the course, plus the resources that help you keep building after it ends.
Videos, materials, and curriculum updates — forever, no re-purchase.
25+ deployment scripts, LangGraph templates, and evaluation pipelines.
Private Discord of 500+ engineers who've taken the same courses.
Internal LLM benchmark datasets to measure prompt and model quality.
Live sessions with the lead instructor to unblock real problems.
From our students
Engineers at different levels share what they built and what changed.
500+
Engineers trained
25+
Engineering leaders
40+
SaaS startups
50+
Alumni network
Alumni at
“The most technically rigorous program I've attended. No fluff — just pure deep-dives into transformer blocks and swarm logic. It's about understanding how LLMs actually work.”
Siddharth S.
Staff Engineer · Build Your Own LLM
“LangGraph and multi-agent orchestration was the missing link for our production pipeline. Essential for developers who need to move beyond single-prompt engineering.”
Elena R.
Senior AI Engineer · Agentic AI
“Direct access to instructors who are actually shipping AI products. The focus on evals-driven development is unique — we implemented their RAG evaluation approach across our entire startup.”
Arjun R.
Tech Lead · Claude Code
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