Generative AI Masterclass
Prompt Engineering, APIs and Much More
Duration
2 Months
Start Date
18/01/2025
Days
Sat-Sun
Module 1: AI Basics & History
- Introduction to AI
- History & Evolution
- Tools & Environment Setup
Module 2: Neural Networks & RNNs
- Neural Networks Overview
- CNNs in Image Processing
- RNNs & LSTMs in NLP
Module 3: Transformers & GPT
- Transformers Explained
- GPT Models & Use Cases
- Prompt Engineering Techniques
Module 4: APIs & LangChain
- Integrating AI with APIs
- LangChain Applications
- Local LLM Setup
Module 5: Hugging Face & RAG
- Using Hugging Face Models
- Retrieval-Augmented Generation (RAG)
- LangChain Integration
Module 6: Industry Projects
- Building AI Applications (Gradio)
- Industry Use Cases (Healthcare, Finance, Retail)
Module 7: Final Project & Interview Prep
- Final Project Development
- Team Collaboration
- Interview Preparation
Module 1: AI Basics & History
- Introduction to AI
- History of AI
- Setting up Environment
- Overview of Neural Networks
Module 2: Neural Networks, CNN, & RNN
- Backpropagation & Activation Functions
- Overfitting & Advanced Optimizers
- CNNs for Image Processing
- RNNs & LSTMs for Sequential Data
Module 3: Transformers & GPT
- Understanding Transformers
- Pretrained Models
- GPT Use Cases
Module 4: APIs for AI
- Prompt Engineering Techniques
- Introduction to APIs (OpenAI, Groq)
- Integrating AI into Applications
Module 5: LangChain & Local LLM with Ollama
- Introduction to LangChain
- Applications in AI
- Setting up Local LLM with Ollama
Module 6: Hugging Face
- Introduction to Hugging Face
- Model Usage & Fine-tuning
- Deploying with Hugging Face APIs
Module 7: RAG & Industry Use
- Understanding RAG (Embeddings, Vector DB)
- RAG with LangChain
- Industry Use Cases of AI (Healthcare, Finance, Retail)
Module 8: Final Project
- Development - Individual
Interview Preparation
- Interview Strategies