Course Overview

Course Overview to be entered here

Skills Covered

Transformer Fine-Tuning
Data Tokenization
Model Evaluation
Diffusion Image Generation
AI Audio Generation
Text & Code Generation
Multilingual Question Answering
Model Deployment Strategies
Inference Optimization
AI Safety Management
Context-Aware Chatbots
Gradio Model Deployment

Course Curriculum

Course Content

Free Generative AI Fine-Tuning Course with Certificate - 2026
Preview
- Lesson 01: Course Introduction
  05:01Preview
  - 1.01 Course Introduction Applied Generative AI Fine Tuning and Deployment
    02:42
  - 1.02 Kickstarting Applied Generative AI Fine Tuning and Deployment
    02:19
- Lesson 02: Learning Objectives
  01:17Preview
  - 2.01 Learning Objectives
    01:17
- Lesson 03: Fine Tuning Transformers for Generative Tasks
  34:50
  - 3.01 Fine Tuning Generative Transformers When to Use Them
    06:32
  - 3.02 Preparing Data for Generative Fine Tuning
    01:59
  - 3.03 Tokenization Essentials for Generative Fine Tuning
    03:17
  - 3.04 Evaluating and Optimizing Fine Tuned Models
    04:19
  - 3.05 Demo Fine Tuning Transformers for Generative Tasks Part 1
    13:23
  - 3.06 Demo Fine Tuning Transformers for Generative Tasks Part 2
    05:20
- Lesson 04 Fine Advanced Tasks Image and Audio Generation
  22:17
  - 4.01 Image Generation with Diffusion Models
    04:01
  - 4.02 Audio Generation with Transformer Models
    04:16
  - 4.03 Demo Generating Art with Stable Diffusion
    14:00
- Lesson 05: Real World Generative Use Cases with Transformers
  11:13
  - 5.01 Real World Generative AI Use Cases
    01:15
  - 5.02 Understanding Text Summarization and Real World Applications
    01:38
  - 5.03 Code Generation with Generative AI
    02:34
  - 5.04 Question Answering and Multilingual Content Generation
    03:35
  - 5.05 Production Deployment Considerations
    02:11
- Lesson 06: Deployment Inference and Best Practices
  37:13Preview
  - 6.01 Choosing a Model Inference Deployment Strategy
    05:19
  - 6.02 Optimizing and Deploying Model Inference
    01:47
  - 6.03 Managing AI Safety Risks in Production Systems
    04:31
  - 6.04 Model Optimization and Safety
    02:12
  - 6.05 Demo Context Aware Chatbot
    10:23
  - 6.06 Demo Serverless AI Deployment with Gradio
    13:01
- Lesson 07: Key Takeaways
  01:13
  - 7.01 Key Takeaways
    01:13
  - Knowledge Check

Why Join this Program

Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts