Just Enough AI
Embark on an exciting journey into the world of Artificial Intelligence. Learn the fundamentals, explore real-world applications, and shape the future with AI.
Course Preview
Get a taste of our teaching style with these introduction videos
Introduction to AI Concepts
Learn the fundamental concepts that power modern AI systems.
Touch and Feel of AI
Learn how to use AI with mini projects.
Vector Embeddings
Learn how to use vector embeddings to create a semantic search.
RAG
Retrieval Augmented Generation - Chat with your docs.
Neural Networks and CNN
Deep dive into Neural networks and Convolutional Neural Networks.
LLMs and GPT
Large Language Models and GPT2 architecture and training.
Why You'll Love This Course
Efficient Learning Path
- Carefully curated topics to transform you into a confident AI developer
- Direct deep dives leveraging your industry experience
- Active recall at every class start for better retention
Your Transformation
- Master neural networks and modern AI fundamentals
- Understand technical details of LLMs and new AI releases
- Confidently participate in technical AI discussions
Upcoming Classes
Stay tuned for our next batch announcement!
Next Batch Coming Soon
We're preparing an exceptional learning experience for our next batch. Register your interest now and be the first to know when new dates are announced!
Live Online Sessions
Limited Batch Size
Interactive Learning
Why Learn AI Now?
Perfect Timing for AI Entry
- AI algorithms have converged on transformers, making the learning path clear
- Modern libraries simplify deploying and using AI models - no more boilerplate!
- Platforms like Hugging Face make implementation straightforward
No Advanced Math Required
- Start learning AI without advanced mathematical prerequisites
- Focus on practical implementation as a software engineer
Practical Learning Approach
- Hands-on micro projects before diving into theory
- Understanding the 'why' keeps you motivated throughout the learning journey
Course Overview
Your Learning Journey
Where You Start
- Wanting to learn AI with developer-level depth
- Feeling overwhelmed by AI's rapid advancement
- Seeking a clear learning path among countless resources
Where You'll Be
- Deep understanding of neural networks, training, and model internals
- Ability to understand technical details of new LLM releases
- Confidence in technical AI discussions and architecture decisions
Detailed Curriculum
1. Vector Embeddings
The heart of modern AI
- Evolution and fundamentals of embeddings
- Semantic similarity use cases
- Practical implementation with Cloudflare
- Mini-project: Movie plot semantic search
2. RAG Applications
Retrieval Augmented Generation
- Building 'chat with your docs' applications
- Mini-project: RAG system using open-source models on Cloudflare
3. Neural Networks
- Hands-on MNIST digit recognition training
- Understanding parameters and hyperparameters
- Practical implementation and training
4. Language Models & GPT
- Evolution from RNN/LSTM to modern LLMs
- Deep dive into GPT2 architecture and training
- Understanding tokens, context windows, and prediction mechanics
- Multi-head attention, transformers, and logits explained simply
Who Can Join?
No prior experience in AI needed—just curiosity and excitement for learning! This course is perfect for beginners who want to understand AI and its applications.
Future Batches
Coming SoonInterested in future batches? Register now and we'll notify you about upcoming schedules.
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