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Data ScienceLLMGen AITransformers
Generative AI
Introduction Generative AI
Generative AI Introduction
Prompt Engineering Foundations
Large Language Models Overview
Conversational AI Understanding
Chatgpt Applications
AI Enabled Technologies
Explainable AI
Generative AI Ethics
Generative AI Future
Advanced Models Architecture
Generative Models Overview
LLm Architecture
Attention Transformers
Variational Autoencoders
Generative Adversarial Networks
Advanced Application Development
Advanced Prompting
LLm Customization
Langchain Development
Langchain Workflows
LLm Evaluation
Advanced Image Generation
Contrastive Learning
Shared Embedding
Autoencoders Generation
Image Denoising
Stable Diffusion
Generative AI Governance
Generative AI Foundations
Ethical AI Frameworks
AI Lifecycle Governance
Governance Structures
AI Project Risks
Emerging AI Trends
Crewai Autonomous Agents
Introduction Agentic AI
Agentic AI Intro
Multi Agent Intro
Agentic Use Cases
Crewai Overview
AI Framework Comparison
Crew AI Architecture
Role Definition Assignment
Agent Role Task Tool
Crew Config Orchestration
Crew Execution Lifecycle
Agent Memory Knowledge
Setting Up Crew
Install CrewAI
Create Crew
Write Agent
Run Pipeline
Debug Logging
Tools Plugins Integrations
Vector DB Setup
CrewAI Tool Abstraction
Custom Agent Tools
External API Actions
Framework Integrations
Dynamic Task Assignment
Agent Workflow Design
Dynamic Agent Orchestration
Task Reassignment
Response Validation Agents
Real World Use Cases
Document Analysis Pipeline
Resume Job Match
Ecommerce Chatbot
Research Assistant
Observability Optimization Safety
Factuality Accuracy
Hallucination Handling
Logging Interactions
Rate Limits Resources
Deployment Hosting
Cloud Hosting
Docker Agents
API Services
Monitoring Scaling
LLM Operations
Module 1
Model Architectures
LLM Deployment Challenges
LLM Lifecycle Components
LLMops vs MLOps
Retrieval Augmented Generation
Module 2
LLM Internals
Fine Tuning Prompt
Fine Tuning Prompt
Model Types
Peft Methods
Module 3
Evaluation Metrics
Hallucination Safety
Prompt Automation
Prompt Design
Prompt Templating
Module 4
Chunking Embedding
Dataset Curation
Dataset Curation
Document Loaders Parsers
Rag Pipelines
Vector Databases
Module 5
Local Inference Huggingface
API LLMs
Cost Latency Optimization
Response Acceleration
Token Batching Streaming
Module 6
Huggingface Inference
Advanced Inference
Triton Gpu
Langchain LangGraph
OpenLLM BentoML
LlamaIndex
Langchain LangGraph Apps
LangChain Intro
Introduction Benefits
Core Concepts
Architecture Overview
Langchain Vs Traditional
Setup Installation
LangChain Concepts
Document Loaders
Prompt Templates
LLM Chains
Model Integrations
Langchain Memory
Tools Agents
Agent Types
Built In Tools
Custom Tool Dev
Lcel Basics
Tool Augmented Agents
LangGraph Intro
What Is LangGraph
LangGraph Comparison
Define Graph Elements
Setup LangGraph
State Machine LLM
LangGraph Building
Custom Agents
Shared State
Branching Logic
Vector DB RAG
Use Cases
Deployment Scaling
Apps To APIs
LangServe Deployment
Caching Rate Limiting
LangSmith Tracing Debugging
Logging Debugging Observability
Capstone Project
Rag Langchain
Embedding Vector Stores
Indexing Querying
Rag Chatbots
Rag Overview
Retriever Interface
Gen AI

Gen AI

Generative AI

Explore Generative AI (Gen AI) fundamentals, advanced models, application development, ethics, and governance. Your complete guide to the future of AI.

Crewai Autonomous Agents

Discover Crew AI, the framework for building autonomous multi-agent systems. Orchestrate AI agents with roles, goals, and tools to solve complex tasks collaboratively.

LLM Operations

Master LLMOps! Explore the end-to-end lifecycle of Large Language Models. Learn development, deployment, monitoring & maintenance best practices for AI.

Langchain LangGraph Apps

Learn to build advanced LLM-powered applications with LangChain & LangGraph. Master core concepts, practical implementations, and deployment strategies for AI development.

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