Be the first to know when we launch and get all the course updates.
Namaste AI 🚀
Understand modern AI deeply and learn to build real products using LLMs, RAG, agents and MCP. 🔥
English
Lifetime validity
Understand how LLMs and ChatGPT work01
Study transformers, tokenization, and hallucinations02
Become an AI-native software engineer03
Use AI across the complete software development lifecycle04
Master prompting techniques, including zero-shot prompting05
Build AI-powered products using existing LLM APIs06
Learn API integration, tokens, and API protection07
Build RAG systems using private or business data08
Learn AI agents and Model Context Protocol09
One purchase includes all five planned seasons10
All seasons included
Practical AI engineering workflow
GenAI, RAG, agents and MCP
7-day 100% refund policy
Do you have any doubts about this course?
Our Mission
The Foundation
Build a strong understanding of how modern AI systems, LLMs and Generative AI actually work
Learn the essential concepts behind transformers, tokens, embeddings, context, prompting and hallucinations without unnecessary academic complexity.
The Journey
Learn through practical demonstrations, engineering workflows and real AI-powered applications built alongside the course.
Progress from using LLM APIs to building RAG systems, AI agents, MCP integrations and production-ready AI products.
Who this course is for
COLLEGE STUDENTS
Perfect for students who know the basics of programming and want to start learning modern AI engineering.
Build relevant skills early and prepare yourself for a software industry where AI will be part of almost every engineering role.
SOFTWARE ENGINEERS
Designed for frontend, backend and full-stack developers who want to add AI capabilities to their existing engineering skills.
Learn how to integrate LLMs, build intelligent features and use AI across the complete software development lifecycle.
EXPERIENCED ENGINEERS
Ideal for experienced developers, tech leads and engineering managers who want a structured understanding of modern AI systems.
Learn to design, evaluate, secure and deploy reliable AI applications using RAG, agents, MCP and production engineering practices.
PRODUCT MANAGERS & TECH LEADERS
Ideal for product managers, founders, engineering managers and technology leaders who want to understand how modern AI products are designed and built.
Learn what LLMs, RAG, AI agents and MCP can realistically do, so you can make better product decisions and collaborate confidently with engineering teams
Founder, NamasteDev | Former Software Engineer at Uber & Paytm
Akshay Saini is the founder of NamasteDev and a software engineer and educator with 13+ years of industry experience. Before building NamasteDev, he worked as a software engineer at companies including Uber and Paytm. He is best known for creating Namaste JavaScript and has taught more than 2 million learners worldwide through his courses and educational content.
His teaching focuses on clarity, depth and practical engineering. In Namaste AI, Akshay will break down complex AI concepts from first principles and help you apply them while building real-world AI products using LLMs, RAG, agents, MCP and production engineering practices.
Every lesson in Namaste AI is personally taught by Akshay.
20L+Students Taught
13+Years Experience
Uber & PaytmCompanies Worked At
Course Certificate
★CERTIFICATE OF COMPLETION
Earn Your OfficialNamaste AICertificate
Complete Namaste AI and receive a personalised certificate recognising your learning journey.
Official Namaste AI Certificate
Recognise your learning and showcase your achievement.
Add it to your resume or portfolio
Share it with your LinkedIn network
Issued by NamasteDev upon course completion
Verified e-certificate with unique ID
Lifetime Access
One-Time Purchase
Unlock Course For Life!
Enroll once and gain unlimited lifetime access to this course. No subscriptions, no renewals, no hidden fees. Learn at your own pace, revisit complex topics anytime, and stay updated with future additions - all at no extra cost.
No SubscriptionsFree Future UpdatesNo Hidden Fees
AI Resume Reviewer
AI Powered
Get the AI Resume Reviewer absolutely FREE
Detailed resume analysis for tech roles
Constructive feedback & actionable suggestions
ATS compatibility check
Completely FREE for enrolled students
Everything Included in Namaste AI
★Everything You Get
Everything You Need to Learn, Build and Ship with AI
A structured AI engineering journey with deep explanations, practical demonstrations and real-world projects.
In-depth, carefully structured video lessons
Web-series-style learning across five planned seasons
Modern AI fundamentals explained from first principles
A practical balance of concepts, demonstrations and projects
Master prompting and context engineering
Build applications using leading LLM APIs
Build RAG systems using private and business data
Learn AI agents, tool use and MCP
Understand tokens, embeddings, transformers and hallucinations
Learn evaluation, security, reliability and deployment
Use AI for planning, coding, debugging and testing
Improve code review, documentation and deployment workflows
JavaScript-first examples, with Python wherever required
Learn multiple approaches to solving the same problem
Build complete, real-world AI-powered products
Every lesson personally taught by Akshay Saini
Detailed notes, references and cheat sheets
Course completion certificate
Lifetime access, future updates and learner community
7-day, no-questions-asked, 100% refund policy
What Namaste AI Helps You Achieve
From Understanding AI to Building with AI
Namaste AI takes you from the fundamentals of modern AI to designing, building, testing, and deploying real-world AI systems.
Understand Modern AI
Build a strong understanding of LLMs, transformers, tokens, embeddings, context, hallucinations, and how modern AI systems actually work.
Build Real AI Applications
Use leading LLM APIs to build practical AI features, intelligent applications, and complete AI-powered products.
Engineer Reliable AI Systems
Learn RAG, AI agents, MCP, evaluations, guardrails, security, cost optimisation, and production deployment.
Become an AI-Native Professional
Use AI effectively for research, planning, coding, debugging, testing, product development, and better decision-making.
Notes
✦ Included with your course
Beautifully Curated Notes Just for You ❤️
Enhance your learning experience with thoughtfully designed, easy-to-read notes crafted to simplify complex concepts.
Enjoy the power of reading and watching videos together your satisfaction is our priority!
Note: Some episodes may not have notes yet - we're working hard to add them as soon as possible.
Your Free Success Add-Ons
✦ Exclusive Addon
Interview Guides
Beyond mastering AI development, your enrollment automatically includes two powerful interview preparation guides at absolutely no extra cost:
These exclusive, in-depth resources are engineered to secure your next role, instantly boosting your job readiness and maximizing the value of your course investment.
What You’ll Learn
🎯CURRICULUM OVERVIEW
Understand AI. Build with AI. Engineer It for Production.
A carefully structured journey that takes you from understanding how modern AI works to building RAG systems, agents, MCP integrations and reliable AI-powered products.
AI History and Evolution
Modern AI Fundamentals
How Large Language Models Work
Transformer Architecture
Tokenization and Token IDs
Embeddings and Vector Representations
Context Windows and Model Memory
Hallucinations and Model Limitations
Prompting Fundamentals
Context Engineering
Structured Outputs
Tool and Function Calling
LLM API Integration
Streaming AI Responses
Multimodal AI Applications
Adding AI to Existing Products
Semantic Search
Vector Databases
Document Ingestion
Chunking Strategies
Embedding Pipelines
Retrieval Strategies
RAG with Private and Business Data
End-to-End RAG Systems
From Chatbots to AI Agents
Agents Versus Workflows
Agent Planning and Memory
Multi-Step Tool Orchestration
Model Context Protocol
Building MCP Servers
Human-in-the-Loop Systems
Multi-Agent Architectures
AI-Assisted Product Planning
AI-Assisted Software Design
AI-Assisted Coding
AI-Assisted Debugging
AI-Assisted Testing
AI-Assisted Code Review
AI-Assisted Documentation
AI-Assisted Deployment
JavaScript-First AI Development
Python Wherever Required
Leading LLM APIs
Modern Vector Databases
+And so much more…
Namaste AI combines strong conceptual foundations with practical AI engineering. You will understand how modern AI systems work, integrate leading model APIs, build real-world applications and learn how to make them reliable enough for production.
The course follows a JavaScript-first approach, with Python introduced wherever it is genuinely useful. You will work with different models, databases and tools instead of becoming dependent on one platform or framework.
This is not a placement-preparation or job-guarantee course. The focus is on high-quality learning, practical engineering skills and the ability to build meaningful AI-powered products.
7 Days Refund Policy
100% Money Back Guarantee
Try It, Risk Free ❤️
We are confident you'll love this course. But if it's not the right fit, no worries! Get a refund within 7 days - No questions asked.
Our Testimonials
Top Companies Where Our Students Work
And Many More...
Interview Stories
R
@ramraghunathan947
UPDATE: SERIOUSLY GOT A JOB BECAUSE OF THIS! Went to an interview. Interviewer: 'Write an example of closure.' Me: *Writes the example*. Interviewer: 'Namaste JavaScript? 🤔' Me: '😐'. Interviewer: 'Even I had the same example in mind!' We high-fived each other. Happily working ever after! 🧱
S
@sujeet4665
I was explaining Hoisting with a demo. Suddenly the interviewer said, 'You watched Namaste JavaScript videos, right?' I said yes. He said, 'OK, let's move to the next question. Your concept is clear. I study from there too!' You're trending, sir! 🚀
U
@unnatibamania3714
I had a JS interview a while ago and noticed most questions were straight from your series. This series is amazing; I've never felt JavaScript like this before! ✨
The course is structured as multiple seasons, with each season containing several episodes. Episode counts and durations are flexible; some episodes may be around 30 minutes, while others may be approximately one hour.
Season 1, called Inside the Mind of AI, focuses on AI foundations. It covers AI history, how LLMs work, the Attention Is All You Need paper, transformer architecture, tokenization, hallucinations, AI model limitations, and how applications such as ChatGPT work behind the scenes.
Season 2 focuses on becoming an AI-native software engineer. It covers AI tools, prompt engineering, zero-shot prompting, project planning, design, coding, code review, debugging, testing, deployment, and using AI throughout the software development lifecycle.
Season 3 focuses on building AI applications. Students will learn how to use existing LLM APIs, add AI capabilities to existing products, work with APIs and tokens, protect API access, and build practical AI-powered projects.
Season 4 focuses on giving AI access to specialized knowledge through Retrieval-Augmented Generation, or RAG. It covers why RAG is needed, how it works, chunking, using business data, building RAG systems, and completing an end-to-end project.