LLMs & Agents

Building Advanced Tools for LLM Agents

LLM Application Developer

Production LLM orchestration, structured output generation, LangChain/LangGraph internals, and vector retrieval.

4 Courses

Python for LLM Workflows: Tooling and Best Practices

Building LLM Applications using LangChain

Getting Started with Retrieve-Augmented Generation (RAG)

LangChain for Production-Ready LLM Applications

LLM Application Architect

System design for multi-agent workflows, hybrid retrieval, streaming fallbacks, and production evaluation.

3 Courses

LangChain for Production-Ready LLM Applications

Designing and Implementing Multi-Agent LLM Systems

Agentic LLM Systems and Memory-Augmented Architectures

Advanced RAG Architect

Dense and sparse retrieval, reranking pipelines, chunking strategies, and vector index optimization.

3 Courses

Optimizing RAG Systems for Production Environments

Advanced Vector Search for LLM Applications

Large Scale Distributed Retrieval-Augmented Generation

Advanced Agentic Systems

Autonomous agent architectures, long-term memory management, plan decomposition, and multi-agent coordination.

3 Courses

Prompt Engineering for Agentic Workflows

Designing and Implementing Multi-Agent LLM Systems

Agentic LLM Systems and Memory-Augmented Architectures

LLM Fine-Tuning Expert

Parameter-efficient fine-tuning (LoRA/QLoRA), dataset preparation, preference alignment (DPO), and evaluation.

4 Courses

Introduction to LLM Fine-Tuning

Synthetic Data for LLM Pretraining and Fine-Tuning

Advanced LoRA and PEFT Techniques for LLM Fine-Tuning

Fine-tuning and Adapting Large Language Models

AI Safety and Alignment

Output guardrails, red-teaming strategies, prompt injection defenses, and alignment evaluation.

4 Courses

Fundamentals of Model Evaluation and Metrics

Foundational

Introduction to LLM Red Teaming

Advanced LLM Alignment and Safety Techniques

Advanced LLM Alignment: Constitutional AI and RLAIF