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Duration 14 hours
Course Outline
Introduction to Generative and Agentic AI
- Defining Generative AI and Agentic AI.
- Distinguishing between the two and understanding how they complement one another.
- Industry-specific use cases and current market trends.
Architecture and Tools in Generative AI
- Transformer-based models including GPT, LLaMA, and Claude.
- Comparing fine-tuning methods against in-context learning.
- Key tools such as ChatGPT, Hugging Face Transformers, and Google AI Studio.
Prompt Engineering for Precision and Structure
- Developing prompt patterns for writing, coding, and summarization.
- Implementing few-shot, zero-shot, and chain-of-thought prompting techniques.
- Leveraging prompt libraries and testing utilities for optimization.
Understanding the Landscape of Agentic AI
- Tracing the definition and evolution of agentic systems.
- Examining core architectures: planning, memory management, tool usage, and self-reflection.
- Reviewing popular frameworks such as AutoGPT, BabyAGI, CrewAI, and LangGraph.
Designing and Implementing Autonomous Agents
- Establishing goals and breaking down complex tasks.
- Connecting external tools and APIs for search, memory, and code execution.
- Coordinating multi-agent interactions and maintaining human-in-the-loop oversight.
Application Scenarios and Use Cases
- Differentiating content generation from task orchestration.
- Enhancing enterprise productivity, customer service, and data extraction processes.
- Ensuring responsible, secure, and compliant implementations.
Conclusion and Future Pathways
Requirements
- A foundational grasp of Artificial Intelligence (AI) and Machine Learning principles.
- Practical experience working with APIs or scripting languages such as Python.
- Familiarity with prompt engineering techniques or the utilization of Large Language Models.
Target Audience
- AI developers and engineers.
- Innovation and Research & Development (R&D) teams.
- Technical product managers investigating agentic AI systems.
Testimonials (1)
the tips and recommended prompts that we can take away from this training
