In this comprehensive 8-hour workshop, participants will explore the transformative potential of Agentic AI in data engineering and analysis. Through a mix of theoretical insights and hands-on exercises, attendees will learn how to leverage Agentic AI to enhance data-driven decision-making, automate complex tasks, and drive innovation. This workshop is tailored for data engineers and analysts eager to stay at the forefront of AI advancements and apply cutting-edge techniques to their work.

Additionally, the workshop will cover foundational models, prompt engineering, Retrieval-Augmented Generation (RAG), and the concept of agents. Participants will delve into both basic and advanced concepts of Microsoft Autogen, integrating Crew AI with Autogen to harness the advanced capabilities of Autogen for complex tasks and the user-friendly features of Crew AI for streamlined workflow automation. This creates a comprehensive AI solution that caters to diverse needs. Participants will gain practical insights and hands-on experience. Real-world business use cases will be examined to demonstrate the synergy between Autogen and Crew AI in driving innovation and efficiency.

Workshop Agenda

• Introduction to Agentic AI
  • Overview of Agentic AI: Definition and Key Concepts
  • Historical Context and Evolution
  • Current Trends and Future Directions
• Agentic AI in Data Engineering
  • Integrating Agentic AI into Data Pipelines
  • Case Studies: Successful Implementations
  • Hands-on Exercise: Building a Simple Agentic AI Model
• Agentic AI in Data Analysis
  • Enhancing Data Analysis with Agentic AI
  • Tools and Techniques for Data Analysts
  • Hands-on Exercise: Applying Agentic AI to Real-World Data Sets
• Advanced Techniques and Best Practices
  • Advanced Agentic AI Algorithms
  • Best Practices for Implementation and Maintenance
  • Hands-on Exercise: Optimizing Agentic AI Models
• Ethical Considerations and Future Outlook
  • Ethical Implications of Agentic AI
  • Regulatory and Compliance Issues
  • Future Outlook and Emerging Trends
• Q&A and Wrap-Up
  • Open Q&A Session
  • Recap of Key Takeaways
  • Next Steps and Resources for Further Learning

You will learn

• The fundamental concepts and applications of Agentic AI.
• To integrate Agentic AI into data engineering and analysis workflows.
• Gain hands-on experience with building and optimizing Agentic AI models.
• The ethical considerations and future trends in Agentic AI.

Attendee Requirements:

• You must provide your own laptop for this hands-on lab
• Your machine must have a modern web browser
• Python needs to be installed on your machine
• Jupyter Notebooks needs to be installed on your machine