Applied Generative AI Specialization Training
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Applied Generative AI Specialization

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Gain practical expertise in Applied Generative AI with this specialization. Learn to design, implement, and deploy generative AI models across diverse applications.

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Overview

The Applied Generative AI Specialization is a comprehensive program designed to equip learners with the skills to leverage generative AI in real-world scenarios. Covering foundational concepts, tools, and advanced techniques, this specialization dives into applications like text generation, image synthesis, chatbots, and automated workflows. With hands-on projects and exposure to platforms like Google Cloud and OpenAI, participants will gain proficiency in building, fine-tuning, and deploying generative AI models. This program is ideal for developers, data scientists, and AI enthusiasts aiming to master applied generative AI.

Key Features

  • Advanced Techniques
  • AI Tool Mastery
  • Career-Oriented Training
  • Ethics and Governance
  • Expert-Led Guidance

Curriculum

Study Plan

1Module 1: Foundations of Generative AI and Python Programming
  • Introduction to Generative AI concepts: GANs, VAEs, and their applications.
  • Python programming essentials for AI development.
2Module 2: Transformers and Attention Mechanisms
  • Deep dive into transformers, attention mechanisms, and their significance in LLMs.
  • Exploring LLM architecture and its real-world applications.
3Module 3: Advanced Prompt Engineering and LLM Fine-Tuning
  • Techniques for effective prompt engineering to optimize AI models.
  • Practical applications of LLM fine-tuning for specific tasks.
4Module 4: Building Generative AI Applications
  • Hands-on projects involving tools like ChatGPT, Copilot, and Azure AI Studio.
  • Developing and deploying AI-enabled applications using Langchain for workflow design.
5Module 5: RAG, LLM Benchmarking, and AI Governance
  • Understanding and implementing Retrieval Augmented Generation (RAG).
  • Benchmarking LLM performance and exploring ethical AI practices.

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