Hands-On AI: Build, Train, and Deploy Advanced AI Projects

About this course

Unlock the power of artificial intelligence with our comprehensive, project-based course designed for intermediate to advanced learners. Whether you’re looking to enhance your AI skills or gain hands-on experience with real-world projects, this course has everything you need to master AI applications.

What You'll Learn:

• Project 1: Retrieval-Augmented Generation (RAG) with LLMs and FAISS
• Learn RAG architecture fundamentals
• Differentiate between LLM pretraining and fine-tuning
• Implement Llama2 with the FAISS Vector Database
• Detailed code walkthroughs and practical applications
• Project 2: Train Your Own ChatGPT with RLHF
• Understand Reinforcement Learning from Human Feedback (RLHF)Deep dive into RLHF techniques
• Implement RLHF on VertexAIEvaluate and optimize your ChatGPT model
• Project 3: Building and Fine-Tuning Large Language Models (LLMs)Explore RNNs, LSTMs, and Attention mechanisms
• Master Tokenizers and Encoder-Decoder architectures
• Dive into Transformer models and their variations
• Practical walkthroughs on prompt engineering

Project 4: Anomaly Detection Using Autoencoders

Develop an end-to-end anomaly detection system

Implement autoencoders for effective anomaly detection

Hands-on coding with provided datasets

Project 5: Build a Streamlit Chatbot Using Langchain and GPT

Create interactive chatbots with Streamlit

Integrate Langchain and GPT for advanced conversational AIStep-by-step coding guidance and data handling

Course Features:

Hands-On Proj

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