Udemy - Generative AI Skillpath - Zero to Hero in Generative AI

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1 - Introduction
• 1 - Introduction.mp4 (63.9 MB)
10 - Retrieval Augmented Generation - Building your own RAG applications
• 1 - Retrieval Augmented Generation Concepts.mp4 (47.0 MB)
• 2 - Step 1 Reading Documents in RAG Workflow.mp4 (82.3 MB)
• 3 - Step 2 Creating Chunks in the RAG Process.mp4 (65.2 MB)
• 4 - Step 3 Generating Embeddings in the RAG Workflow.mp4 (40.0 MB)
• 5 - Step 4 Storing Embeddings in a Vector Database.mp4 (60.8 MB)
• 6 - Building an End-to-End RAG Application.mp4 (73.6 MB)
11 - Tools and Agents Building your own AI Agents
• 1 - Overview of Tools and Agents in LangChain.mp4 (29.6 MB)
• 2 - Developing Custom Tools with LangChain.mp4 (73.6 MB)
• 3 - LangChain Built-in Tools DuckDuckGo Search and Wikipedia.mp4 (70.2 MB)
• 4 - Working with Agents in LangChain.mp4 (79.1 MB)
• 5 - Building a Memory-Enabled Agent in LangChain.mp4 (44.5 MB)
12 - LangSmith for monitoring our Application
• 1 - Overview of LangSmith and Its Capabilities.mp4 (19.4 MB)
• 2 - Running and Monitoring Applications Using LangSmith.mp4 (65.3 MB)
13 - Creating Graphical UI using Streamlit for our application
• 1 - Introduction to Streamlit.mp4 (34.6 MB)
• 2 - Building a GUI for Your GenAI App Using Streamlit.mp4 (50.0 MB)
14 - What's under the hood Understanding the foundations of LLMs
• 1 - Strengths and Limitations of Generative AI - foundation of AI.pdf (3.2 MB)
• 1 - Strengths and Limitations of Generative AI.mp4 (75.0 MB)
• 2 - Generative AI The Magic Behind the Mechanism.mp4 (71.3 MB)
• 3 - Understanding How AI Learns.mp4 (92.8 MB)
• 4 - Evolution from Linear Regression to Neural Networks.mp4 (77.8 MB)
• 5 - Understanding Tokens and Embeddings.mp4 (61.7 MB)
• 6 - Inside Transformers — The Core Architecture of LLMs.mp4 (34.5 MB)
• 7 - How Language Models Generate Predictions.mp4 (47.4 MB)
• 8 - Pre-Training vs Fine-Tuning — How Models Evolve.mp4 (51.6 MB)
• 9 - Exploring Open-Source LLMs.mp4 (18.6 MB)
15 - Getting Started with On-Device AI
• 1 - What is On-Device AI.mp4 (22.5 MB)
• 2 - Exploring the Qualcomm AI Hub.mp4 (42.5 MB)
• 3 - Setting Up and Logging Into Qualcomm AI Hub.mp4 (17.1 MB)
16 - Model Training & Deployment Steps
• 1 - Understanding On-Device Model Deployment Steps.mp4 (31.0 MB)
• 2 - Model Training Phase – Concepts & Workflow.mp4 (35.3 MB)
• 3 - Hands-On Model Training in Practice.mp4 (32.3 MB)
17 - Model Compilation & Profiling
• 1 - Model Compilation – Concepts and Process.mp4 (43.6 MB)
• 2 - Hands-On Model Compilation.mp4 (30.1 MB)
• 3 - Model Profiling – Theory & Performance Insights.mp4 (17.6 MB)
• 4 - Practical Model Profiling Exercise.mp4 (65.2 MB)
18 - Model Optimization & Deployment
• 1 - Running Model Inference on Device.mp4 (63.2 MB)
• 2 - Exporting and Downloading Your Model.mp4 (70.5 MB)
• 3 - Overview to Quantization.mp4 (25.5 MB)
• 4 - Symmetric Quantization Explained.mp4 (42.8 MB)
• 5 - Asymmetric Quantization Explained.mp4 (52.5 MB)
• 6 - Applying Quantization Techniques – Hands-On.mp4 (69.1 MB)
19 - Conclusion
• 1 - About your certificate.html (0.9 KB)
• 1 - Bonus lecture.html (9.1 KB)
• 2 - Bonus lecture.html (9.1 KB)
2 - Prompt Engineering
• 1 - Crafting Effective Prompts Be Detailed and Specific.mp4 (20.9 MB)
• 10 - Thought structures Skeleton-of-Thought Prompting.mp4 (24.8 MB)
• 11 - Thought structures Program-of-Thought Prompting.mp4 (32.9 MB)
• 2 - Best Practices for Prompting.mp4 (35.2 MB)
• 3 - Using Prompt Templates for Consistency.mp4 (32.0 MB)
• 4 - Prompting Framework Chain of Thought.mp4 (114.7 MB)
• 5 - Prompting Framework Step-Back Reasoning.mp4 (29.5 MB)
• 6 - Prompting Framework Role Prompting.mp4 (21.0 MB)
• 7 - Prompting Framework Self-Consistency.mp4 (26.5 MB)
• 8 - Prompting Framework Chain-of-Density.mp4 (53.9 MB)
• 9 - Thought structure Tree-of-Thought Prompting.mp4 (102.1 MB)
3 - Prompt hyperparameters and their tuning
• 1 - Understanding Prompt Hyperparameters.mp4 (39.5 MB)
• 2 - Temperature & Top-p Controlling Randomness.mp4 (61.5 MB)
• 3 - Max Tokens & Stop Sequences Managing Output Length.mp4 (23.0 MB)
• 4 - Presence & Frequency Penalties Adding Variety.mp4 (15.7 MB)
• 5 - Tuning Prompt Parameters for Optimal Results - Prompt+parameter+tuning.ipynb (10.9 KB)
• 5 - Tuning Prompt Parameters for Optimal Results.mp4 (82.8 MB)
4 - Prompt evaluation
• 1 - Three Methods to Evaluate Prompt Quality.mp4 (42.2 MB)
• 2 - Conducting Prompt AB Testing.mp4 (21.4 MB)
• 3 - Evaluating Prompts with PromptFoo - Link to download nodejs.url (0.1 KB)
• 3 - Evaluating Prompts with PromptFoo - Prompts+and+test+cases+for+promptfoo.docx (13.9 KB)
• 3 - Evaluating Prompts with PromptFoo.mp4 (136.6 MB)
• 3 -Link to download nodejs.url (0.1 KB)
5 - Running LLMs Locally on your PC
• 1 - Downloading and Installing Ollama Setup.mp4 (14.7 MB)
• 2 - Configuring Ollama and downloading models.mp4 (42.4 MB)
• 3 - Model customization via Command Line or Terminal.mp4 (47.3 MB)
• 4 - Building, Saving, and Implementing a Custom Ollama Model.mp4 (33.3 MB)
6 - Using Ollama with Python
• 1 - Configuring the Python Environment.mp4 (21.2 MB)
• 2 - Working with the Ollama Library in Python.mp4 (56.1 MB)
• 3 - Invoking the Model via the Ollama REST API.mp4 (23.7 MB)
7 - Building LLM Applications using LangChain in Python
• 1 - Understanding LangChain Objectives and Core Benefits.mp4 (25.5 MB)
• 2 - LangChain Fundamentals Prompt Templates and LLM Models.mp4 (28.9 MB)
• 3 - LangChain Fundamentals Formatting the Output.mp4 (39.0 MB)
8 - Chains and Runnables (LangChain Expressions Language)
• 1 - Using the Pipe Operator in LCEL.mp4 (47.6 MB)
• 2 - Understanding Runnables Theoretical Foundations.mp4 (20.3 MB)
• 3 - Runnable Types Parallel, Passthrough, and Lambda.mp4 (25.3 MB)
• 4 - Example Managing Execution Flow with LCEL.mp4 (90.5 MB)
• 5 - Understanding Dynamic Routing in LangChain.mp4 (21.3 MB)
• 6 - Implementing Dynamic Routing in LCEL.mp4 (76.4 MB)
9 - Memory in LangChain
• 1 - Overview to Memory in LangChain.mp4 (28.4 MB)
• 2 - Understanding Conversation Buffer Memory.mp4 (66.4 MB)
• 3 - Customizing Memory Using Memory Keys and Adding Messages.mp4 (30.0 MB)
• 4 - Implementing Conversation Chains.mp4 (26.7 MB)
• 5 - Working with Conversation Buffer Window Memory.mp4 (25.9 MB)
• 6 - Understanding Conversation Summary Memory.mp4 (30.9 MB)
• 7 - Using Runnables with Message History.mp4 (40.3 MB)
• Bonus Resources.txt (0.1 KB)