What You'll Learn
- Design and build autonomous AI agents that can plan, reason, and execute multi-step tasks independently
- Implement tool calling and integrations to connect AI agents with APIs, databases, and real-world systems
- Develop memory systems (short-term and long-term) to create context-aware and intelligent AI behavior
- Build and orchestrate multi-agent systems with supervisor-worker architectures and task delegation
- Apply planning and decision-making techniques to enable goal-driven and adaptive AI workflows
- Optimize and scale AI systems for performance, cost efficiency, and real-world deployment
Requirements
- No prior knowledge required
- A computer with internet access
- Eagerness to learn
Who This Course is For
- Developers and engineers who want to move beyond prompts and build real AI systems and agents
- Data professionals and analysts looking to expand into AI engineering and automation
- AI enthusiasts who want to understand how to build autonomous, decision-making systems
- Product builders and founders interested in creating AI-powered tools, workflows, or SaaS products
- Anyone curious about the future of AI and wants to learn how agentic systems actually work in practice
Your Instructor
Experienced Instructor
Professional Educator
An experienced instructor with expertise in this field and a passion for teaching.
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