Generative AI and Agentic AI Training Course
Generative AI and Agentic AI represent two influential paradigms propelling the next generation of automation and intelligence. While one prioritizes content creation, the other focuses on autonomous, goal-oriented behaviour.
This instructor-led live training, available both online and on-site, is designed for intermediate-level AI specialists and technical professionals eager to learn how to build, assess, and integrate generative and agentic AI solutions into practical applications.
Upon completion of this training, participants will be able to:
- Comprehend the architecture and capabilities of generative AI systems.
- Investigate the emergence of autonomous AI agents and their extension of Large Language Models (LLMs).
- Employ prompt engineering and tool integrations for practical deployments.
- Evaluate models, tools, and techniques to ensure responsible deployment.
Course Format
- Interactive lectures and discussions.
- Practical application of generative and agentic AI tools within real-world contexts.
- Guided exercises centred on content generation and autonomous workflows.
Course Customisation Options
- For personalised training tailored to this course, please contact us to arrange.
Course Outline
Introduction to Generative AI and Agentic AI
- Defining Generative AI and Agentic AI
- Distinctions and synergies between the two approaches
- Industry use cases and current trends
Generative AI Architecture and Tools
- Transformer models: GPT, LLaMA, Claude, and others
- Fine-tuning versus in-context learning
- Tools: ChatGPT, Hugging Face Transformers, Google AI Studio
Prompt Engineering for Control and Structure
- Prompt patterns for writing, coding, summarisation, etc.
- Few-shot, zero-shot, and chain-of-thought prompting techniques
- Utilising prompt libraries and testing tools
Understanding Agentic AI
- Definition and evolution of agentic AI
- Architectures: planning, memory, tools, and self-reflection
- Prominent frameworks: AutoGPT, BabyAGI, CrewAI, LangGraph
Designing and Deploying Autonomous Agents
- Goal setting and task decomposition
- Integrating tools and APIs (search, memory, code)
- Multi-agent coordination and human-in-the-loop supervision
Use Cases and Implementation Scenarios
- Content generation versus task orchestration
- Enterprise productivity, customer support, data extraction
- Responsible and secure implementation practices
Summary and Next Steps
Requirements
- A foundational understanding of AI and machine learning concepts
- Experience with APIs or scripting languages such as Python
- Familiarity with prompt engineering or the utilisation of large language models
Audience
- AI developers and engineers
- Innovation and R&D teams
- Technical product managers investigating agentic AI systems
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
Contact us for an exact quote and to hear our latest promotions
(*The final price may vary depending on the technical specialization of the course, the level of customization, the method of delivery and the number of learners)
Need help picking the right course?
info@nobleprog.pt or +351 30 050 9666
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