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Duration 14 hours
Course Outline
Introduction to Generative AI and Agentic AI
- Defining Generative AI and Agentic AI.
- Analyzing the differences between the two and how they synergize.
- Reviewing key use cases and industry trends.
Architecture and Tools for Generative AI
- Exploring Transformer models, including GPT, LLaMA, Claude, and other architectures.
Prompt Engineering for Precision and Structure
- Leveraging prompt libraries and testing utilities.
Insights into Agentic AI
- Examining core architectures: planning, memory management, tool usage, and self-reflection.
Designing and Deploying Autonomous Agents
- Managing multi-agent coordination and implementing human-in-the-loop oversight.
Practical Use Cases and Implementation Scenarios
- Applying AI to enterprise productivity, customer support, and data extraction.
- Ensuring responsible and secure implementation practices.
Summary and Future Directions
Requirements
- A foundational understanding of AI and machine learning principles.
- Proficiency in prompt engineering or experience utilizing Large Language Models (LLMs).
Target Audience
- Technical product managers exploring the integration of agentic AI systems.
Testimonials (1)
the tips and recommended prompts that we can take away from this training
