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Duration 14 hours
Course Outline
Introduction to the Landscapes of Generative and Agentic AI
- Defining Generative AI and Agentic AI: A clear distinction of concepts.
- Analyzing the differences between the two and how they synergistically complement one another.
- Reviewing current use cases and emerging trends across various industries.
The Architecture and Tooling of Generative AI
- Examining transformer models, including GPT, LLaMA, Claude, and other prominent architectures.
- Comparing the benefits and applications of fine-tuning versus in-context learning.
- Leveraging key platforms and tools such as ChatGPT, Hugging Face Transformers, and Google AI Studio.
Prompt Engineering for Precision and Structure
- Developing effective prompt patterns for writing, coding, summarization, and other tasks.
- Implementing few-shot, zero-shot, and chain-of-thought prompting strategies.
- Utilizing prompt libraries and testing utilities to refine outputs.
Deep Dive into Agentic AI
- Tracing the definition and evolutionary path of agentic AI.
- Understanding core architectural components: planning, memory, tool usage, and self-reflection.
- Exploring leading frameworks such as AutoGPT, BabyAGI, CrewAI, and LangGraph.
Building and Deploying Autonomous Agents
- Establishing clear goals and executing effective task decomposition.
- Seamlessly integrating external tools and APIs for search, memory, and code execution.
- Orchestrating multi-agent coordination and implementing human-in-the-loop supervision mechanisms.
Practical Use Cases and Implementation Strategies
- Distinguishing between content generation workflows and complex task orchestration.
- Applying solutions to enterprise productivity, customer support, and data extraction challenges.
- Ensuring responsible, secure, and ethical implementation practices.
Conclusions and Future Directions
Requirements
- A solid grasp of core AI and machine learning principles.
- Practical experience interacting with APIs or scripting languages such as Python.
- Familiarity with prompt engineering techniques or the operational use of large language models.
Target Audience
- AI developers and software engineers.
- Innovation and Research & Development teams.
- Technical product managers exploring the potential of 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 3200 € + VAT*
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