Free Udemy Course __ Claude Capybara Mythos Mastery: Build Frontier AI Systems

What You'll Learn

Build agentic AI systems that go beyond prompting by combining planning, execution, and evaluation workflows
Design and implement multi-agent architectures using the Planner → Executor → Critic pattern
Apply dual-mode reasoning and create structured outputs such as JSON plans and execution graphs
Develop AI-powered solutions for code review, debugging, refactoring, and system design
Create security-aware AI systems that detect vulnerabilities and generate risk reports with remediation steps
Integrate memory systems (FAISS/Chroma patterns) to enable context retention and long-running workflows
Implement guardrails, policy engines, and human-in-the-loop approval workflows for enterprise readiness
Use LLM-as-a-judge evaluation techniques to measure quality, reliability, and performance of AI outputs
Build systems with tool usage and API integration for real-world automation
Design observability pipelines with logging, tracing, and cost monitoring for AI systems
Design observability pipelines with logging, tracing, and cost monitoring for AI systems
Deliver a complete production-grade frontier AI system as a portfolio-ready capstone project

Developers and engineers who want to move beyond basic prompting and build production-grade agentic AI systems
AI practitioners looking to design multi-agent architectures with planning, execution, and evaluation workflows
Product managers and technical leaders who want to understand how to build and scale real-world AI systems
Software engineers interested in applying AI to code review, refactoring, and system design workflows
Security professionals exploring how to use AI for vulnerability detection, risk analysis, and secure coding practices
Data and AI specialists aiming to implement LLM evaluation, guardrails, and governance patterns in enterprise settings
Builders and innovators who want hands-on experience creating autonomous AI workflows with memory, tools, and APIs
Professionals transitioning into AI who already have basic programming knowledge and want to learn advanced system-level AI design
Anyone interested in understanding how modern AI systems evolve from single models to intelligent, orchestrated systems

Professional Educator

An experienced instructor with expertise in this field and a passion for teaching.

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