Become an AI Builder in 60 Days
Not $3,000. Not 6 months. Not pre-recorded videos. 100% live mentor-led classes. Ship 15+ AI projects and become the most hireable AI builder in the room.
4.9 Rating
211 Reviews
100%
Live Classes
80+
Students Enrolled
15+
projects you ship
10 modules — from AI foundations to production-grade Agentic AI
A structured, build-first path: master the fundamentals, the tooling, LLMs and prompting, then go deep on RAG, agents and multi-agent systems — finishing with a full-stack capstone.
Foundations of AI
Understanding the core technologies & evolution
AI Tools & Productivity
The stack & workflows that 10× your output
Large Language Models
The engine behind the AI revolution
Prompt Engineering Mastery
The art of communicating with AI
Multimodal Generative AI
Beyond text: visuals, audio & video innovation
Retrieval Augmented Generation (RAG)
Grounding AI in your own proprietary data
Introduction to Agentic AI
AI systems that think and act autonomously
AI Agent Development
Building individual autonomous AI agents
Multi-Agent Systems
Orchestrating & scaling collaborative agents
Capstone Project
Build a full-stack agentic AI application
Every module, topic by topic
Expand any module to see exactly what you'll cover — 10 modules and 100+ topics, with hands-on builds throughout and a full-stack capstone to finish.
AI Evolution
- chevron_right Traditional Machine Learning — how it started
- chevron_right Deep Learning Breakthroughs — what changed the game
- chevron_right The Rise of Generative AI — why it matters now
- chevron_right Predictive vs. Generative Models — key differences
Core Mechanics
- chevron_right How AI Systems Learn — the learning loop explained
- chevron_right Decision-Making Processes — how AI picks outputs
- chevron_right Multimodal AI Integration — combining different data types
- chevron_right Text, Image, Audio & Video — AI across media formats
Industry Impact
- chevron_right AI Content Creation Tools — real tools in use today
- chevron_right Marketing & Finance Automation — business applications
- chevron_right Healthcare Diagnostics — AI in medicine
- chevron_right Enterprise AI Assistants — corporate-level deployment
Hands-on
Real-world examples of AI text generation and content-creation automation tools.
The AI Stack
- chevron_right ChatGPT & Claude — conversational AI powerhouses
- chevron_right Gemini & Perplexity AI — research and multimodal tools
- chevron_right Research & Writing — using AI for knowledge work
- chevron_right Document Generation — automated content creation
Business Automation
- chevron_right AI Email Automation — smart inbox management
- chevron_right Document Analysis — extracting insights from files
- chevron_right Report Generation — automated business reporting
- chevron_right Workflow Optimization — streamlining operations
Developer Workflow
- chevron_right Working with AI APIs — integrating AI into code
- chevron_right GitHub Integration — version control for AI projects
- chevron_right Managing AI Projects — structure and best practices
- chevron_right Sharing Workflows — collaboration and reuse
Core Mechanics
- chevron_right Tokens & Tokenization — how text is broken into units
- chevron_right Context Windows — how much data a model holds at once
- chevron_right Attention Mechanisms — how models focus on what matters
Popular Models
- chevron_right Proprietary Leaders — GPT (OpenAI), Claude (Anthropic), Gemini (Google)
- chevron_right Open-Source Power — Llama, Mistral and community models
- chevron_right Capabilities — text generation, Q&A, code and reasoning
Optimization
- chevron_right Cost Management — API cost optimization & efficient prompt design
- chevron_right Handling Limitations — mitigating hallucinations, bias & context limits
Hands-on
Build LLM-based chatbots and Q&A systems.
Core Techniques
- chevron_right Zero-Shot — direct instructions without any examples
- chevron_right Few-Shot — examples for better, consistent results
- chevron_right Chain-of-Thought — guiding step-by-step logical reasoning
Advanced Strategies
- chevron_right Role Prompting — assigning specific expert personas to AI
- chevron_right Context — deep background information for accuracy
- chevron_right Structured Prompting — using templates and frameworks
Optimization
- chevron_right Accuracy — techniques to reduce hallucinations
- chevron_right Evaluation — output quality control and testing
- chevron_right Real-World Use Cases — coding, marketing and content generation
Hands-on
Create a focused AI prompt library and a compact specialized assistant for your workflows.
Visual Content
- chevron_right AI Art & Design Automation — creating visuals from text descriptions
Audio & Voice
- chevron_right Natural Voice Synthesis & Narration — automated voiceovers and audiobooks
Video Generation
- chevron_right Text-to-Video & Marketing Content — automated high-quality video production
Vision-Language
- chevron_right AI Image Analysis & Captioning — extracting deep insights from visual data
Why RAG?
- chevron_right Accuracy — 70–90% reduction in LLM hallucinations
- chevron_right Real-Time — access to live, proprietary business data
- chevron_right Trust — 95–99% time-sensitive accuracy for users
The RAG Pipeline
- chevron_right Ingestion — process and chunk complex documents
- chevron_right Retrieval — semantic search and ranking systems
- chevron_right Generation — grounded responses with source citations
Core Technologies
- chevron_right Embeddings — numerical text representations for search
- chevron_right Vector Databases — Pinecone, Weaviate, Chroma, Qdrant
- chevron_right Enterprise Adoption — used by Siemens, Morgan Stanley, Amazon
Core Concepts
- chevron_right Perceive, Decide, Act — independently, with goal-oriented behavior
- chevron_right Autonomy vs. Assistants — how agents differ from traditional AI
Agent Types
- chevron_right Task Agents — execute specific defined tasks
- chevron_right Planning Agents — break goals into sub-tasks and execute
- chevron_right Multi-Agent Systems — multiple agents working together
Components of an Agent
- chevron_right Goals — what the agent is trying to achieve
- chevron_right Memory — short-term and long-term retention
- chevron_right Tools — external capabilities the agent can use
- chevron_right Reasoning Engine — the decision-making brain
Ethics & Safety
- chevron_right Governance — frameworks for responsible deployment
- chevron_right Bias Mitigation — strategies for fairer outputs
- chevron_right Transparency — responsible-AI principles
Hands-on
Build an autonomous task assistant that plans and executes independently.
Core Frameworks
- chevron_right LangChain — modular building blocks for LLM apps
- chevron_right CrewAI — orchestrating autonomous multi-agent crews
- chevron_right AutoGen — conversational agents that talk to each other
- chevron_right LlamaIndex — the premier data framework for LLM apps
Tool Integrations
- chevron_right Connect to the World — APIs, databases & external services
- chevron_right Custom Tools — build tools agents call on demand
Agent Memory
- chevron_right Long-Term Memory — consistent agent behavior
- chevron_right Context Management — across sessions and conversations
Workflow Automation
- chevron_right Multi-Step Workflows — automate complex business processes
- chevron_right End-to-End Pipelines — full pipeline design
Hands-on
Develop an AI workflow-automation agent from scratch.
Task Orchestration
- chevron_right Master Planning — workflows for multi-agent coordination
- chevron_right Task Delegation — which agent does what
- chevron_right System Design — collaborative design principles
Agent Communication
- chevron_right Message Passing — protocols between agents
- chevron_right Cross-Agent Coordination — coordination strategies
- chevron_right Shared Memory & State — managing shared state
Debugging & Scaling
- chevron_right Observability — in complex architectures
- chevron_right Performance Monitoring — for large multi-agent systems
- chevron_right Error Handling — fallback mechanisms
Hands-on
Build a comprehensive multi-agent AI automation system.
Everything from all nine modules, brought together into one comprehensive, real-world project.
Project Scope
- chevron_right Real Business Problem — define one that needs AI automation
- chevron_right Solution Architecture — design the full system from scratch
What You Build
- chevron_right RAG Knowledge Base — connected to your own documents · Module 6
- chevron_right Multi-Agent Backend — research, writing & decision agents · Modules 8 & 9
- chevron_right Multimodal I/O — text, image or voice input/output · Module 5
- chevron_right Prompt Library — used across all agent interactions · Module 4
- chevron_right LLM Backbone — OpenAI, Claude or open-source · Module 3
Deliverables
- chevron_right Deployable App — a working, deployable AI application
- chevron_right Documentation — full docs + architecture diagram
- chevron_right Demo — presentation or video walkthrough
- chevron_right GitHub Repo — clean, production-ready code
Evaluation Criteria
- chevron_right Functionality — correctness of agents
- chevron_right Prompt Quality — creativity of prompt engineering
- chevron_right Scalability — real-world applicability
- chevron_right Code Quality — and project documentation
Real products you'll build — not toy demos
CallTrack
A full calling-team CRM — leads, pipeline, invoices and dashboards.
Autocut
An agentic video editor that strips fillers and silences and drops slides on cue.
Agentic Thumbnail Maker
Reads your script, researches and generates thumbnails end-to-end.
Logoforge
An AI logo designer that interviews you and generates SVG + rendered images.
WhatsApp Automation
Broadcasts, auto-replies and workflow triggers powered by AI.
…and your own capstone
Shipped, documented and ready to show any employer or client.
Three tracks, one outcome — you ship
Students & Freshers
- check_circleShip 15+ real AI projects for your portfolio
- check_circleBecome the most hireable builder in your batch
- check_circleJob board, referrals & portfolio reviews
- check_circleEarn your first freelance income by Week 4
Business Owners
- check_circleAutomate ops, support & reporting with custom agents
- check_circleReplace expensive SaaS tools with systems you own
- check_circleBuild the lean 3-person, high-output studio model
- check_circleTurn data into measurable business outcomes
Marketers & Freelancers
- check_circleRun a solo AI content & visual studio
- check_circleAutomate campaigns, funnels & client reporting
- check_circleAdd high-ticket AI services to your offer
- check_circleTap the curated SME freelance leads board
Sound like you?
Watching AI explode without you
Drowning in YouTube tutorials — built 0 projects
Stuck in a job AI will replace
Wasted money on pre-recorded, generic courses
No idea what is production-grade (RAG, Agents, MCP)
Imposter syndrome on every job application
Freelance income stuck and not growing
Running out of time to catch up
If any of these hit home — this cohort is built for you.
Built to fit around your job or college
4 classes / week
Monday to Thursday — consistent momentum.
6–7 PM IST
Evenings — fits around college and a full-time job.
2+ hours per class
We never wrap until the topic is truly done.
Recordings in 24h
Every class lands in your student portal within a day.
Same skills. A fraction of the price & time.
| Premium 6-month cohort | Ankit Kumar Academy — AI Live | |
|---|---|---|
| Price | $3,000 | $499.00 |
| Duration | 6 months | 60 days (8 weeks) |
| Live classes | Some (mostly recorded) | 100% live |
| First deployed project | ~3 months | Day 7 |
| Projects shipped | 2–3 | 15+ |
| Beginners welcome | Needs an engineering background | Total beginners welcome |
| Curated freelance leads board | close | check_circle |
One client pays for the whole cohort — many times over
$301.20
per audit project
$1,204.82
per pilot delivery
$2,409.64+
monthly retainer
One client = a 5×–16× return on your $499.00 investment.
Everything you get for $499.00
Originally $3,000. No upsells, no hidden tiers — one price, everything in.
Enroll now arrow_forward
Ankit Kumar
Founder & Lead AI Instructor
Ankit Kumar is an AI engineer, educator, and the founder of Ankit Kumar Academy. Over the last 6+ years he has helped more than 4,500 learners break into data and AI careers — translating dense research into practical, build-first lessons that actually ship.
4,500+ Learners Mentored
Across data science, AI and analytics programs worldwide.
25+ Courses Published
From Advanced Excel to Agentic AI engineering.
500+ Career Transitions
Students placed into data and AI roles at top companies.
6+ Years in Industry
Shipping production data and AI systems at scale.
This cohort is not for you if…
Frequently asked
A lean team, a volume strategy and a 100% live format — no inflated production costs to pass on to you.
Yes. With vibe-coding tools, beginners ship their first working app in the first week.
Totally fine. We use vibe-coding tools (Lovable, Bolt, Cursor) from Day 1, so you build by describing what you want.
You attend the remaining live classes and unlock all past recordings instantly, so you never fall behind.
Attend the classes, submit the assignments, and if you still cannot ship an app, you get a full refund.
You keep 3-month recording access and lifetime access to the alumni community.
Yes — no-cost EMI (3 months) on credit cards via Razorpay at checkout.
Why learners rate this cohort 4.9 on Google
Real reviews from students across India, the USA and the UK who built genuine skills and changed their careers with us.
Based on 512 Google reviews
location_onBengaluru, India
I joined with zero coding background and within two months I had built and deployed real ML projects. The live mentorship makes all the difference — every doubt was cleared the same day. I landed a data analyst role right after.
location_onLondon, UK
Easily the best AI program I have taken, and I have tried a few. It is 100% live and completely build-first — I shipped a working RAG app and an autonomous agent I now use at work. Worth every penny.
location_onAustin, USA
The build-first approach is exactly what I needed — no fluff, no endless theory, just real projects with a mentor who genuinely cares. I went from marketing to an AI engineering role in under four months.
location_onPune, India
From "I cannot code" to deploying my own apps. The classes are practical, the community is incredibly supportive, and the project portfolio genuinely helped me clear interviews. Highly recommended.
location_onManchester, UK
The Power BI and analytics track transformed how I work. Within weeks I was building dashboards my whole team now relies on. Clear teaching, real datasets and brilliant support throughout.
location_onSan Francisco, USA
Ankit explains genuinely hard concepts so simply. The agentic AI module alone was worth the fee — I finally understand how multi-agent systems work under the hood, and I have built three of my own since.
location_onChennai, India
The Excel-to-Power BI pathway was perfectly structured. Each lesson built on the last and by the end I was confidently presenting automated reports to senior management. Got promoted within two months of finishing.
location_onLagos, Nigeria
I was sceptical about online courses after wasting money on two others. This one is different — the live sessions, the projects, the community. I shipped a real computer vision app and it is in my portfolio now.
location_onDelhi, India
What sets Ankit apart is that he genuinely cares about each student. I had never written a line of Python before and now I am building end-to-end data science pipelines. The career guidance was a huge bonus.
location_onSydney, Australia
The generative AI course was mind-blowing. I built a custom chatbot for my company using LangChain and deployed it on AWS — all during the course. My manager was genuinely impressed.
location_onKochi, India
I switched from a non-tech background to data analytics after completing this course. The hands-on projects gave me the confidence to crack interviews. Currently working at a top fintech company.
location_onBerlin, Germany
Outstanding course structure. Every week we built something real. The capstone project alone added three talking points to my resume. The instructor feedback was detailed and genuinely helpful.
location_onHyderabad, India
I took the Data Science and AI course after my engineering degree and it was the best decision. Real projects, real datasets, real skills. I received two job offers before even finishing the course.
location_onToronto, Canada
The curriculum is incredibly well-designed. From Python basics to deploying ML models, everything was taught with real-world context. The community support is amazing and Ankit responds to every question personally.
location_onMumbai, India
After trying multiple platforms, this is where I finally learned to build production-grade AI applications. The agentic AI projects were particularly impressive — I now have a portfolio that stands out in interviews.
Ready to become an AI builder?
100% live. 15+ projects shipped. $499.00 $3,000 — with no-cost EMI available at checkout.
verified_user Ship-an-app guarantee — attend, submit, and if you can't ship, get a full refund.