AMS-AI123 Generative AI for Developers


This 3-day course prepares developers to harness the power of generated AI as they create their solutions. They can craft dynamic content, produce code and documentation, refine user interfaces, and devise customized recommendations. All leading to highly efficient and powerful applications.


This course will be useful for; software developers, data scientists, ML engineers, AI researchers and more. 


The course is technical in nature and attendees should have the following skills: Python, basic AI concepts, Machine Learning basics, and data storage and access.

Hands-On Environment

The course includes hands-on activities, allowing attendees to reinforce the concepts covered in the course content.

Course Outline 

Module 1: Introduction to Generative AI  

  • Artificial Intelligence
  • Introduction to Generative AI
  • Generative AI Models
  • ChatGPT API

Module 2: Multimodal Generative AI  

  • Introduction to Multimodal AI
  • Text-to-Image Synthesis
  • Audio-to-Video Synthesis
  • Applications of Multimodal Generative AI

Module 3: Variational Autoencoders  

  • Introduction to Variational Autoencoders
  • Architecture and Training
  • Applications of Variational Autoencoders

Module 4: Generative Adversarial Networks

  • Introduction to Generative Adversarial Networks
  • Architecture and Training
  • Common GAN Variants and Applications

Module 5: Natural Language Generation

  • Introduction to Natural Language Processing
  • Transformer Architecture and Variants
  • Applications of NLP in Generative AI

Module 6: Ethics and Responsible AI

  • The Importance of AI Ethics
  • Bias in Generative Models
  • Responsible AI and Best Practices

Module 7: Prompt Engineering  

  • Creating Effective Prompts
  • Evaluating Prompt Performance
  • Advanced Prompt Techniques

Module 8: Applications of Generative AI  

  • Summarizing Documents
  • Generating Programming Code
  • Virtual Agents

Module 9: Operationalizing Generative AI Models

  • Model Selection and Fine-Tuning
  • Deployment Strategies
  • Monitoring and Maintenance

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