Mastering Generative AI – From Fundamentals to Real-World Application

Rated 4.5 out of 5

Mastering Generative AI – From Fundamentals to Real-World Application

COURSE OVERVIEW

Step into the future of innovation with SkillGroom’s Mastering Generative AI – From Fundamentals to Real-World Application course, a hands-on program designed to help you understand, create, and apply AI-powered tools across domains.
Whether you’re a student, professional, or entrepreneur, this course helps you build real-world AI skills through practical projects and mentor-led learning.

WHAT YOU'LL LEARN

By the end of this course, you’ll be able to:

Understand how Generative AI works and where it’s transforming industries.
Design effective prompts to get high-quality results from AI tools.
Use tools like ChatGPT, Midjourney, GitHub Copilot, and more.
Apply AI ethically while avoiding common pitfalls.
Automate workflows and enhance productivity using AI in daily work.

Empower your future - create, innovate, and lead with Generative AI.

CURRICULUM

Module 1: Introduction to Generative AI and Its Evolution

Topics Covered:

Discover what makes Generative AI revolutionary. Learn about its origins, evolution, and impact on industries.

What is Generative AI (GenAI)?
History and milestones in AI development
Traditional AI vs Generative AI
Key drivers: Big data, compute power, neural networks
Real-world applications
Limitations and ethical considerations

Module 2: Fundamentals of Large Language Models (LLMs)

Topics Covered

Understand how LLMs like GPT and BERT work behind the scenes and their responsible use.

How LLMs work (Transformers, Attention Mechanism)
GPT, BERT, T5, PaLM – comparisons & use cases
Training vs Inference
Prompt engineering basics
Zero-shot, few-shot, fine-tuning
Responsible use of LLMs

Module 3: Generative AI Tools and Platforms

Topics Covered

Explore the most popular and powerful AI tools used worldwide.

ChatGPT, Bard, Claude, Bing AI, GitHub Copilot
Image generation: DALL·E, Midjourney, Stable Diffusion
AI for video, music, and voice
Open-source vs Proprietary GenAI tools
Tool selection based on your goals

Module 4: Prompt Engineering and Task Design

Topics Covered

Master the art of writing precise prompts and designing AI-driven tasks.

Anatomy of a good prompt
Prompting strategies: Zero-shot, few-shot, chain-of-thought
Task types: summarization, translation, code generation, etc.
Tool-specific prompting examples (ChatGPT, Claude, Bard)
Avoiding hallucinations and bias via prompt tuning

Module 5: Ethical, Legal, and Societal Implications of GenAI

Topics Covered

Understand the moral and professional boundaries of using AI responsibly.

AI hallucinations, plagiarism, misinformation
Bias and fairness in LLMs
Copyright and content ownership
AI and job displacement
Global perspectives on AI regulation
Responsible AI frameworks (OECD, EU AI Act)

Module 6: GenAI in Everyday Productivity & Collaboration

Topics Covered

Turn AI into your productivity partner and workplace assistant.

Writing, summarization, and content creation with AI
AI in Excel, PowerPoint, CRM, and Docs
Workflow automation with Zapier and Make
AI for meetings, brainstorming, and reporting
Chatbots and virtual assistants

WHO SHOULD ENROLL

Students and professionals eager to explore AI-driven careers
Managers seeking to boost productivity with AI tools
Entrepreneurs aiming to leverage AI for business automation
Educators and researchers exploring AI in academia

WHAT YOU'LL GET

Certificate of Completion
Hands-on Projects and Assignments
Mentorship from Industry Experts
Access to Course Content

PROJECT SUBMISSION

Choose Your Project Topic

- Explore the project topics available in the LMS.
- Check the project description, learning outcomes, and required skills.
- Ask your guide/mentor if you need help selecting a topic.
- Finalize your topic and proceed.

Submit Your Project

- Follow the Project Submission Guidelines (format, font, spacing, citations).
- Your report will go through a plagiarism check, so keep it original.
- Upload your final PDF report and any supporting files to the LMS.

Project Evaluation

- Your project is evaluated by:
  - Organization Mentor
  - Internal Faculty Supervisor
- They assess you on:
  - Quality and clarity of your report
  - Depth of understanding
  - Application of concepts to real tasks
  - Problem-solving skills
  - Professional behaviour and timely submission
  - Viva/Presentation (if required)
- Credits (2–4) are awarded as per UGC NEP 2020 guidelines.

Certificates & Results

- Your Internship Certificate will be issued after:
  - Report approval
  - Evaluation completion
  - Uploading the organization certificate
- Download your Internship Completion Certificate directly from the LMS.