Accelerate your AI learning journey with our hands-on drills covering reinforcement learning, neural networks, LLMs, and more. Start building practical skills today with our step-by-step guided exercises.
Master sequential decision making by constructing Q functions to solve complex problems.
Learn to dynamically adjust server resources based on traffic using reinforcement learning.
Optimize decision-making with REINFORCE algorithm for dynamic pricing scenarios.
Advanced non-linear modeling
User-item interaction analysis
Core concepts and challenges
Build powerful recommendation engines from scratch using collaborative filtering techniques. Learn to handle implicit user-item transactions and model complex non-linear relationships in your data for more accurate suggestions.
Framework for LLM applications
Core agent architecture
Competitive agent systems
Natural language to SQL translation
Create a compassionate digital companion using Chainlit and HuggingFace to provide emotional support.
Build a ReAct pattern chatbot using LangGraph, modeling agentic workflow as a directed graph with extended tooling capabilities.
Develop a tutor that generates summaries, analytical questions, and quizzes from uploaded PDFs using Streamlit and LangChain.
Auto Encoders
Learn to program powerful auto encoders for image generation and noise removal using PyTorch.
Convolutional Neural Networks
Master CNN basics by building an image classifier from scratch.
Neural Network Quantization
Convert models from floating point to integer precision for faster, more efficient deployment.
Vision Transformers
Explore the technology that's rapidly replacing CNNs for image-related tasks.
Learn the generator-discriminator framework
Build the neural networks that power GANs
Create new images resembling training data
Generative Adversarial Networks (GANs) are powerful deep learning models that generate new data instances resembling the training data. Our drill takes you through the complete GAN development process, from theory to implementation.
| Dynamic Pricing Agent |
Build an RL-powered system for e-commerce pricing optimization using REINFORCE algorithm |
| Server Scaling |
Automatically adjust server resources based on traffic patterns using Q-Learning |
| Emotion Support Bot |
Create a compassionate AI companion using Chainlit and HuggingFace |
| PDF Learning Assistant |
Generate summaries, questions, and quizzes from any PDF document |
Our drills focus on real-world applications that solve genuine business and technical challenges. Each course provides hands-on experience with practical implementations you can adapt to your own projects.