Banking system
Use classes, inheritance and real program structure—not isolated syntax drills.
Start with Python. Build the Machine Learning, RAG and Generative AI skills companies are looking for, then finish with a deployed AI project you can actually show.
Over 45 days, you'll work through real Python, data, Machine Learning and Generative AI projects instead of only watching tutorials.
Use classes, inheritance and real program structure—not isolated syntax drills.
Clean a real dataset, explore it and explain the patterns you uncover.
Prepare data, train models, compare results and produce usable predictions.
Connect documents, embeddings, vector search and an LLM into one working app.
Plus a calculator, contact book and more guided builds across the 45-day syllabus.
By the end, you will not just know what Python or AI means. You will have working projects that prove you can use them.
No guessing what to learn next. Every phase turns the last one into a bigger outcome.
Follow a fixed Monday–Saturday schedule, build alongside an instructor and ask questions while the idea is still fresh.
See what you will learn with Nikhil. Watch the quick introduction before you reserve your seat.
Meet Nikhil Mishra, a Data Engineer at Hindustan Times and former Software Development Engineer at Nagarro Technologies specializing in .NET. With experience training over 1000 students and completing four internships, Nikhil brings valuable industry insights and a passion for teaching to guide you on your Python learning journey.
View profile“What I liked most is that it’s not only theory. You actually build projects while learning, so the concepts make more sense. Looking forward to the AI part of the course.”
“I was looking for something that starts with Python but doesn’t stop at the basics. The ML and GenAI part is what made me interested in this batch. Excited to see what I can build by the end”
“I’ve attended a few coding courses before, but I usually struggled with what to learn next. This one feels more structured and practical. The live classes are a big plus for me”
“I’m completely new to AI and was honestly a little overwhelmed by all the different topics online. This gives me one clear path to follow, which is exactly what I was looking for”
Demonstrate your successful completion of the 45-day live program. Add your certificate to LinkedIn, include it in your portfolio alongside your GitHub repositories, and show the AI projects you built and deployed.

Learning to code is intense—community swag makes it sweeter. Active participants, standout project builders, and engaged students stand a chance to win our custom CodeWithRandom community hoodie! 🎉

Limited live batch capacity to maintain hands-on mentorship quality. Reserve your seat before the live batch starts on 9 October 2026.
Secure checkout via Razorpay
Check all the boxes where your answer is YES.
We start from zero, write code together live, and do not stop until your projects are deployed.
The course is a 45-day live class conducted in English.
This course is perfect for beginners—no prior programming experience needed. We start with the basics and build your skills step-by-step.
7+ real-life projects are created live during the classes.
Due to the nature of digital content and immediate access to valuable learning materials, we currently do not offer refunds for this course.
We encourage you to carefully review the course description, syllabus, and FAQ section before enrolling. If you have any further questions, please don't hesitate to contact us.
Our friendly support team is here to help! Feel free to contact us at [email protected] or by Drop Whatsapp Message us at +91 6350 049 286 . We're happy to answer any questions you may have and assist you with your enrollment.
Yes, you can scroll up to review the topics that will be covered during the live course.
Engaging and Interactive: We make learning fun with practical exercises, real-world examples, and expert-led live sessions.
Supportive Community: Join our active forum to connect with fellow learners and instructors. Ask questions, share progress, and get help whenever you need it.
Hands-on Learning: Build your skills with hands-on projects that let you apply what you’ve learned.
Regular Updates and Support: We keep the course content fresh and provide ongoing support to help you stay ahead.
Start with Python. Follow the path. Build something real.