Harnessing AI Agents: From Theory to Autonomous Systems
Build the Next Generation of AI Agents. From understanding open-weight LLMs to constructing your first autonomous testing server and multi-agent workflows.
This comprehensive 6-module course takes you step-by-step from foundational Large Language Model architecture through local hardware sizing, server configuration, orchestration frameworks (like CrewAI & OpenClaw), to deploying a live autonomous web research bot.
What You Will Learn
- Module 1: Closed vs Open-Weight LLMs, Parameters, and Agentic Architectures
- Module 2: Hardware Specs, VRAM vs System RAM, Mac Unified Memory vs NVIDIA GPUs
- Module 3: Sourcing and Quantizing Models (GGUF/AWQ), Ollama & LM Studio
- Module 4: Building Local Testing Sandboxes, LAMP/Docker Stacks, and AI-Assisted Setup
- Module 5: Multi-Agent Frameworks (CrewAI, OpenClaw), ReAct Loops, and Safety Guardrails
- Module 6: Capstone: Building, Prompting, and Deploying an Autonomous Search & Reporting Agent
Course Content
Ratings and Reviews
0.0
Avg. Rating
0 Ratings
5
0
4
0
3
0
2
0
1
0
What's your experience? We'd love to know!
Login to Review
What's your experience? We'd love to know!
Login to Review