Offline Training AI Engineering: Beginner to Intermediate levels

3 hours, 4 chapters, 2 on-site practical exercises

This engaging 3-hour course, divided into 4 insightful chapters and complemented by 2 hands-on, on-site exercises, will take you through the essentials of GPT/GenAI. This course is a blend of theoretical understanding, practical skills, and forward-thinking strategies that will keep you ahead of the curve.

Misconceptions: Avoiding misuse of GenAI products, first step of risks mitigation

Basic Principles: Proper usage of GenAI tools, setting the foundation for the later more complex modules

Common Scenarios: Learning from actual cases to understand what is considered good use cases

Prompt Engineering: It’s more complicated than you thought – could be one of the keys to your project’s success

RCFC model: The power of thoughts , translated into RCFC framework, a powerful tool not widely explored in other courses.

Positive Examples, Negative Examples: Understand the reason to failures is the first step to success

Practice

CoT: Leveraging LLM’s Strategic analysis competencies

0/1/n shot prompts: Tuning the model without the need for a large amount of data-set

Practice

Introduction to Integration Business Case: What can be achieved in the mindset of improving the efficiency of a workflow to the overall operation efficiency instead of improving the speed of a singular task at hand

Elements to consider for Corporate Implementations

Risks and Potential of GPT for Enterprise Applications: It requires more strategic thinking and risks regulation by starting from equipping your company with the right mindset and the right people.

Individuals and corporates interested in improving their skills engaging with Generative AI tools for results at higher quality and efficiency