AI Bootcamp
5 Days. Hands-on AI. From Foundations to Hardware.
An intensive, end-to-end AI bootcamp for students and developers. No fluff, no slides-only lectures you'll build real projects every single day.
Duration
5 Days
Timing
8 Hrs / Day
Investment
₹10,000
Batch Size
Min 15
For
Students
Who is this for?
Students
You're studying CS, engineering, or any technical field and want real, practical AI skills not just theory. This bootcamp gives you the hands-on experience that classrooms often miss.
Developers
You can code but want to understand AI deeply from training your own models to deploying them on hardware. This bootcamp takes you from API consumer to AI builder.
The 5-Day Journey
Each day 9 AM to 5 PM, fully hands-on
Day 1
AI Foundations
Build a rock-solid understanding of AI from the ground up. We cover everything you need: Python essentials, math intuition behind AI, how neural networks actually work, and the landscape of modern AI. No prior AI experience needed just curiosity.
What you'll cover
- 1Python for AI hands-on setup and essential libraries
- 2The math you actually need: linear algebra, probability, and calculus intuition
- 3How neural networks learn from perceptrons to backpropagation
- 4Overview of modern AI: LLMs, computer vision, generative models
- 5Setting up your AI development environment
Day 2
Building Agents on Existing AI Models
Learn to harness the power of existing AI models to build intelligent agents. You'll work with APIs from OpenAI, Anthropic, and open-source models to create agents that reason, remember, and take action.
What you'll cover
- 1Working with LLM APIs prompting, chaining, and function calling
- 2Building your first AI agent with memory and tool use
- 3Retrieval-Augmented Generation (RAG) grounding AI in real data
- 4Prompt engineering patterns that actually work
- 5Deploying your agent as a working application
Day 3
Building Our Own Models with Data
Go beyond APIs train your own AI models from scratch. You'll collect and prepare datasets, build model architectures, train them, evaluate performance, and understand when to build vs. when to use existing models.
What you'll cover
- 1Data collection, cleaning, and preparation pipelines
- 2Building and training models with PyTorch
- 3Transfer learning fine-tuning pre-trained models on your data
- 4Model evaluation, debugging, and improving accuracy
- 5When to train your own model vs. use an existing one
Day 4
Advanced Neural Networks & Machine Learning
Dive deep into the architectures powering today's most impressive AI systems. From transformers and attention mechanisms to CNNs, RNNs, and reinforcement learning you'll understand how they work and when to use each one.
What you'll cover
- 1Transformers and attention the architecture behind ChatGPT
- 2Convolutional Neural Networks (CNNs) for vision tasks
- 3Recurrent networks and sequence modeling
- 4Reinforcement learning fundamentals
- 5Generative models GANs, diffusion models, and VAEs
Day 5
Building AI with Hardware
Bring AI into the physical world. You'll deploy models on edge devices, work with microcontrollers and sensors, and build a complete AI-powered hardware prototype from inference to interaction.
What you'll cover
- 1On-device AI running models on Raspberry Pi, ESP32, and edge devices
- 2Sensor integration audio, vision, and environmental data
- 3Optimizing models for hardware constraints
- 4Building an end-to-end AI hardware prototype
- 5From prototype to product what comes next
After the Bootcamp
Post Workshop Support
The bootcamp doesn't end on Day 5. We stay with you as you take what you've learned and turn it into something real. Whether it's a startup idea, a research project, or a product you want to ship we'll help you bring it to life.
- →Dedicated mentorship to help you build your AI idea end-to-end
- →Access to the community of builders and mentors
- →Technical guidance on model training, deployment, and hardware integration
- →Help turning your project into a portfolio piece or a real product