Learn AI with Akshay Saini, from LLM fundamentals and prompting to API integration, RAG, AI agents and MCP. Build practical AI applications.
Learn
Understand concepts
Practice
Apply your knowledge
Build
Put ideas into action
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.
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.
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.
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.
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.
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
7-Day Refund
Included across the learning experience
Lifetime Access
Included across the learning experience
Certificate
Included across the learning experience
Community Access
Included across the learning experience
Future Course Updates
Included across the learning experience
Expert Guidance
Included across the learning experience
In-depth Explanation
Included across the learning experience
Interview Tips
Included across the learning experience
Your learning path
Explore the curriculum and preview the lessons available to you.
Begin your Namaste AI journey and explore what AI is, how it works, and what you'll learn throughout the course.
Explore the evolution of Artificial Intelligence and the breakthroughs that shaped modern AI systems.
Understand how ChatGPT generates answers and whether it truly knows or simply predicts what comes next.
Discover how Large Language Models represent, process, and understand language behind the scenes.
Learn how machines represent the meaning of words, sentences, and concepts using numerical representations.
Understand the computational engine behind AI and how machines process information to generate intelligent responses.
Meet your mentor
Ex Senior SDE at Paytm & Uber
Founder - NamasteDev.com
Akshay Saini, founder of NamasteDev.com, who previously worked as a software engineer at Uber & Paytm. Akshay has over 13+ years of experience in the software industry and has been guiding students to become a better software Engineer. Well known for his famous playlist named Namaste JavaScript, he has taught over 20 lakhs+ students across the globe.
Akshay is extremely mindful of the technical queries and obstacles faced by students aspiring towards a career in development. Drawing from his own experiences, he has crafted courses designed to offer a straightforward yet effective problem-solving methodology. As a mentor to over 10 lakh students, he has established a tech community that facilitates interaction among professionals across different levels of expertise.
Complete Namaste AI and receive a personalised certificate recognising your learning journey.
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
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.
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.
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.
We are confident you'll love this course. But if it's not the right fit, no worries!
Namaste AI takes you from the fundamentals of modern AI to designing, building, testing, and deploying real-world AI systems.
Build a strong understanding of LLMs, transformers, tokens, embeddings, context, hallucinations, and how modern AI systems actually work.
Use leading LLM APIs to build practical AI features, intelligent applications, and complete AI-powered products.
Learn RAG, AI agents, MCP, evaluations, guardrails, security, cost optimisation, and production deployment.
Use AI effectively for research, planning, coding, debugging, testing, product development, and better decision-making.
One-time course purchase
All upcoming seasons of this course are included in the same one-time price. You will not have to pay anything extra for future seasons.
New lessons, improvements, and future course updates are included at no extra cost.
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
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.
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.
And many more
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! 🧱
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! 🚀
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! ✨
Namaste AI is a comprehensive AI course that combines AI fundamentals, AI-native software engineering, AI application development, RAG, and AI agents.
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.
Five seasons are currently planned. Additional seasons may be introduced later, but only the first five seasons are committed as of now.
No. Students purchase Namaste AI once, and all five planned seasons are included in the same purchase without an additional payment for each season.
No. Students purchase Namaste AI once, and all five planned seasons are included in the same purchase without an additional payment for each season.
A new season will be released every month, and it may be released even earlier.
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.
Get the app
Available on iOS and Android. Fast installs, smaller downloads, and an experience tailored for phones.
