Certificate of Achievement
has completed the following course:
Getting Started with Generative AI
Pragmatic AI Labs
This course provided high-level overview of generative AI concepts as well as hands-on labs for exploring and applying different techniques when working with Large Language Models (LLMs) as well as small language models.
3 weeks, 5 hours per week
Alfredo Deza
Adjunct Professor at Duke University
Pragmatic AI Labs
Transcript
Learning outcomes
- Apply different prompt engineering techniques for enhancing generative AI output
- Develop Generative AI software solutions.
- Create automation based on powerful generative AI patterns
Syllabus
- Learn what generative AI is and how it’s evolved from early AI to the large language models used today
- Learn the fundamentals of prompt engineering to interact effectively with generative AI models
- Explore more advanced skills like breaking down tasks, chaining prompts, and other techniques to overcome context limitations
- Explore different types of generative AI applications, including API-based, embedded-model, and multi-model systems
- Learn the fundamentals of building robust applications using techniques like Retrieval Augmented Generation (RAG) to improve context
- Gain hands-on experience testing an application locally and deploying it on the cloud using tools like Azure
Issued on 8th June 2025
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This certificate represents proof of learning. It is not a formal qualification, degree, or part of a degree.