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Featured Courses

Handpicked by our team to kickstart your journey.

Deep Dive into LLMs: Building and Training GPT Models from Scratch
12h 28m
Advanced
—/ 5.008

Deep Dive into LLMs: Building and Training GPT Models from Scratch

Master the inner workings of Large Language Models by coding a complete GPT-style architecture from scratch. Learn tokenization, multi-head attention, pretraining, and supervised fine-tuning using PyTorch and Python. Build, train, and align your own deep learning models.

Sebastian Raschka
Building Intelligent AI Agents with Python and LangChain
1h 2m
Intermediate
—/ 5.003

Building Intelligent AI Agents with Python and LangChain

Master the LangChain Python framework to build intelligent, autonomous AI agents. Learn to implement conversations, streaming, RAG with vector stores, dynamic prompts, and custom middleware for production-ready applications.

NeuralNine
Architecting Production-Ready AI Agents: From LLM Fundamentals to Multi-Agent Workflows
1h 3m
Intermediate
—/ 5.002

Architecting Production-Ready AI Agents: From LLM Fundamentals to Multi-Agent Workflows

Master the fundamentals of AI agents, LangChain, vector databases, and RAG. Learn to build stateful multi-agent workflows with LangGraph and integrate external tools using the Model Context Protocol (MCP) through hands-on labs.

KodeKloud
Production-Ready AI Agents with Python: From Foundations to Agentic Systems
6h 8m
Intermediate
—/ 5.003

Production-Ready AI Agents with Python: From Foundations to Agentic Systems

Master Python for AI development, build reliable AI agents from first principles, implement high-performance hybrid search RAG pipelines, and establish systematic LLM evaluations for production-grade systems.

Dave Ebbelaar

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