Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Introduction to Generative AI and Agentic AI
- Defining Generative AI and Agentic AI
- Key differences and synergies between the two
- Industry-wide applications and emerging trends
Generative AI Architecture and Tools
- Transformer models: GPT, LLaMA, Claude, and others
- Fine-tuning versus in-context learning
Prompt Engineering for Control and Structure
- Prompt patterns for writing, coding, summarisation, and more
- Few-shot, zero-shot, and chain-of-thought prompting strategies
- Leveraging prompt libraries and testing utilities
Understanding Agentic AI
- The definition and evolution of agentic AI
- Core architectures: planning, memory, tool use, and self-reflection
- Leading frameworks: AutoGPT, BabyAGI, CrewAI, LangGraph
Designing and Deploying Autonomous Agents
- Establishing goals and decomposing tasks
- Connecting tools and APIs (search, memory, code execution)
- Multi-agent coordination and human-in-the-loop oversight
Use Cases and Implementation Scenarios
- Applications in enterprise productivity, customer support, and data extraction
- Ensuring responsible and secure implementation
Summary and Next Steps
Requirements
- Foundational knowledge of AI and machine learning principles
- Basic experience with prompt engineering or the application of large language models
Target Audience
- AI developers and software engineers
- Innovation and 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
