Executive Program in Generative AI Foundations

Rated 4.5 out of 5

Executive Program in Generative AI Foundations

COURSE OVERVIEW

The Generative AI Foundations course helps students, professionals, managers, educators, researchers, and entrepreneurs understand how Generative AI works and how it can be applied in real-world situations. Today, AI tools are changing the way people create, communicate, automate, analyze, and solve problems. Therefore, practical GenAI skills are becoming important for future-ready careers.

Through this course, learners explore AI fundamentals, Large Language Models, popular GenAI tools, prompt engineering, responsible AI use, and productivity applications. In addition, the course connects concepts with practical examples so learners can use AI confidently in work, academics, business, or creative projects.

Moreover, this program focuses on hands-on learning rather than theory alone. As a result, learners become better prepared to create, innovate, automate workflows, and lead with Generative AI.

WHAT YOU'LL LEARN

By completing this Generative AI Foundations course, learners will understand how Generative AI tools work and how they can be used responsibly across different domains.

Understand how Generative AI works and where it is transforming industries
Design effective prompts to get high-quality results from AI tools
Use tools such as ChatGPT, Midjourney, GitHub Copilot, and other GenAI platforms
Apply AI ethically while avoiding common risks and pitfalls
Automate workflows and improve productivity using AI in daily work
Build confidence to use Generative AI in academic, professional, and business contexts

Overall, this course helps learners empower their future, create with confidence, innovate faster, and lead with Generative AI.

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

CURRICULUM

The Generative AI Foundations curriculum is divided into six practical learning sections. Each section helps learners understand how AI concepts, tools, prompts, ethics, and productivity applications work together.

In addition, the course begins with the basics of Generative AI and gradually moves toward Large Language Models, tools, prompt engineering, responsible use, and workplace productivity. As a result, learners build both conceptual clarity and practical GenAI skills.

Module 1: Introduction to Generative AI and Its Evolution

Topics Covered:

This section introduces Generative AI and explains why it has become important across industries. It also helps learners understand the history, limitations, and ethical concerns connected with AI adoption.

Meaning of Generative AI
History and milestones in AI development
Traditional AI versus Generative AI
Key drivers such as big data, compute power, and neural networks
Real-world applications of GenAI
Limitations and ethical considerations

As a result, learners build a strong foundation before moving into tools, prompts, and real-world Generative AI applications.

Module 2: Fundamentals of Large Language Models (LLMs)

Topics Covered

Large Language Models are central to many modern Generative AI applications. Therefore, this section explains how models such as GPT, BERT, T5, and PaLM work behind the scenes.

Transformers and attention mechanism
GPT, BERT, T5, and PaLM comparisons
Training versus inference
Prompt engineering basics
Zero-shot, few-shot, and fine-tuning approaches
Responsible use of LLMs

In addition, learners understand how LLMs can be used responsibly for communication, research, content creation, coding support, and decision-making tasks.

Module 3: Generative AI Tools and Platforms

Topics Covered

This section introduces popular AI tools and platforms used across professional, academic, and creative domains. Instead of focusing only on theory, learners understand how different tools support different goals.

ChatGPT, Claude, Bing AI, and GitHub Copilot
Image generation tools such as DALL·E, Midjourney, and Stable Diffusion
AI tools for video, music, and voice
Open-source and proprietary GenAI tools
Tool selection based on learning, business, or creative goals

Moreover, this section helps learners choose suitable GenAI tools for productivity, experimentation, content creation, automation, and project work.

Module 4: Prompt Engineering and Task Design

Topics Covered

Prompt engineering helps learners get better results from AI tools. This section focuses on writing clear prompts, designing useful tasks, and improving the quality of AI-generated outputs.

Anatomy of an effective prompt
Zero-shot, few-shot, and structured prompting strategies
Task types such as summarization, translation, content generation, and code support
Tool-specific prompting examples
Ways to reduce hallucinations and bias through prompt tuning

Consequently, learners become more confident in using AI tools for writing, research, brainstorming, coding, presentations, and practical problem-solving.

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

Topics Covered

Generative AI must be used with responsibility, fairness, and professional judgment. Therefore, this section explores the ethical and legal boundaries of AI use.

AI hallucinations and misinformation
Plagiarism and content ownership concerns
Bias and fairness in AI-generated outputs
AI and job displacement
Global perspectives on AI regulation
Responsible AI frameworks, including OECD and EU AI Act references

Furthermore, learners understand why transparency, originality, privacy, and ethical decision-making are important when using Generative AI in real-world situations.

Module 6: GenAI in Everyday Productivity & Collaboration

Topics Covered

Generative AI can improve productivity when it is used correctly. This section explains how learners can use AI as a practical assistant for communication, documentation, planning, and collaboration.

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

As a result, learners understand how AI can support everyday work, academic projects, business tasks, and creative workflows.

Live and Interactive Workshop on GenAI

This course includes a live and interactive GenAI workshop led by an expert trainer. Through this workshop, learners get real-time exposure to GenAI tools, techniques, and practical use cases across different domains.

In addition, the workshop helps learners connect course concepts with hands-on practice. Whether learners are exploring AI for academics, business, creativity, productivity, research, or career growth, the workshop adds practical value to the certification journey.

See real-world GenAI applications through live demonstrations
Practise AI tools through guided hands-on activities
Interact with expert trainers and clarify important concepts
Understand how GenAI can be applied in work, studies, and projects
Build confidence to use AI tools in practical professional situations

As a result, this live workshop makes the certification more practical, industry-ready, and valuable for learners who want applied exposure to Generative AI.

WHO SHOULD ENROLL

The Generative AI Foundations course is suitable for learners who want to understand AI tools and use them confidently in academic, professional, business, or creative contexts.

Moreover, the course is useful for people who want to build future-ready skills in prompt engineering, AI productivity, automation, content creation, and responsible AI use.

Students and professionals eager to explore AI-driven careers
Managers seeking to improve productivity with AI tools
Entrepreneurs aiming to use AI for business automation
Educators and researchers exploring AI in academia
Creative professionals who want to use AI for content and innovation

Therefore, this course is ideal for learners who want to begin their Generative AI journey with a strong practical foundation.

WHAT YOU'LL GET

Learners receive structured course resources, practical exposure, and certification support throughout the program. In addition, the course provides learning material that helps participants revise concepts and apply them beyond the classroom.

Certificate of completion
Live and interactive GenAI workshop
Hands-on projects and assignments
Mentorship from industry experts
Online access to course content

Furthermore, these resources help learners understand how Generative AI can be used in learning, work, entrepreneurship, research, and creative projects.

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.

OUTCOME

After completing the Generative AI Foundations course, learners will be ready to apply Generative AI in business, academics, creative projects, and productivity workflows.

In addition, participants will understand how to use AI tools responsibly, design effective prompts, automate routine tasks, and build a strong AI project portfolio.

Overall, this course prepares learners to develop industry-ready GenAI skills, earn recognition, and advance their careers with confidence.

KNOW MORE ABOUT

Explore Skilling Courses – Benefits and Offerings to understand how SkillGroom programs support practical learning, certification, career growth, and professional development.

Also, learners can browse related GenAI courses to build wider expertise in finance, marketing, HR, cybersecurity, operations, data science, IoT, and business strategy.

Finally, choose the course that best matches your career goals and begin building practical skills for the future of work.

SkILLING COURSES - BENEFITS AND OFFERINGS