**This course contains the use of artificial intelligence.**

Generative AI is transforming how people work, communicate, analyze information, and automate everyday tasks across industries. This beginner-friendly course helps you understand the foundations of Generative AI using practical examples, real-world workflows, and simple explanations.

The course explains how Generative AI creates text, images, code, summaries, reports, business communication, and analytical insights. You’ll understand how modern AI tools like ChatGPT are being used across business, finance, marketing, education, and productivity workflows.

Unlike overly technical AI programs, this course focuses on practical understanding and real-world applications using beginner-friendly demonstrations.

The course begins with the fundamentals of Generative AI and how AI systems create new content using patterns learned from data.

You’ll also understand the differences between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)

The program explains these concepts through practical demonstrations and real-world examples rather than complex theory. As the course progresses, you’ll explore the functions and features of ChatGPT in practical business environments.

You’ll learn how ChatGPT can summarize reports, rewrite content, simplify concepts, adapt communication tone, answer questions, and generate code. Moreover, you can find out how generative AI tools simulate business roles and improve productivity workflows through this course.

The program also introduces Large Language Models or LLMs and explains how they generate human-like responses using large text datasets.

You’ll understand how LLMs work, how prompts guide responses, how AI predicts text, how businesses use AI assistants, and how AI supports communication and analysis workflows.

As the program advances further, you’ll move into one of the most practical topics in Generative AI: prompt engineering.

You’ll learn how to write structured prompts, role-based prompts, formatting prompts, audience-specific prompts, business-oriented prompts, and finance-focused prompts.

The course explains how better prompts improve:

Output quality
Response accuracy
Productivity
Communication clarity
AI-generated insights

You’ll additionally understand important Generative AI concepts and terminology used across modern AI platforms.

The course covers:

Prompts
Tokens
Hallucinations
APIs
Fine-tuning
Neural networks
Embeddings
Semantic search concepts
Contextual understanding workflows

In addition, this program explains embeddings and how AI converts text into numerical representations to understand relationships and meaning.

You’ll learn how embeddings support semantic search, similarity matching, contextual understanding, and document analysis workflows. The course also introduces fine-tuning concepts and explains how businesses customize AI models for domain-specific applications.

You’ll understand how organizations use fine-tuning in banking, finance, customer support, analytical workflows, and business communication systems. The program also explores practical Generative AI use cases in the finance industry. You’ll learn how AI is used for financial reporting, investment analysis, financial advisory support, market forecasting, scenario simulations, and risk management workflows.

Throughout the program, the learning approach remains practical, structured, and beginner-friendly. You’ll work through demonstrations, ChatGPT workflows, AI productivity examples, finance use cases, prompt engineering exercises, and real-world AI applications designed for practical understanding. The course also discusses responsible AI usage, ethical considerations, and the future outlook of Generative AI technologies.

Whether you are a beginner learning AI, a student exploring Generative AI, or a business professional, this course helps build practical AI knowledge.

It is also suitable for finance professionals, analysts, managers, and working professionals interested in AI productivity workflows.

The course focuses on practical Generative AI concepts using structured learning approaches and real-world business examples.

By the End of This Course, You Will Be Able To

Understand core Generative AI concepts confidently
Use ChatGPT more effectively for productivity and business workflows
Write structured prompts for better AI-generated responses
Understand how LLMs generate human-like outputs
Apply practical prompt engineering techniques
Understand embeddings, fine-tuning, and AI terminology
Explore AI use cases across finance and business workflows
Improve communication, summarization, and analytical productivity using AI tools
Build stronger foundational knowledge of modern AI technologies

What Makes This Course Different

Explains Generative AI concepts using practical demonstrations and simple explanations
Covers ChatGPT, Prompt Engineering, LLMs, embeddings, and fine-tuning in one structured course
Includes business and finance-oriented AI examples for practical understanding
Ensures a beginner-friendly approach without unnecessary technical complexity
Focuses on real-world AI productivity and communication workflows
Explains AI terminology clearly using practical examples and demonstrations
Covers ethical AI usage and responsible AI practices

About the Course Director

The course structure and learning experience have been designed under the guidance of Dheeraj Vaidya — CFA, FRM charterholder, co-founder of WallStreetMojo and ExcelMojo, and alumnus of IIT and IIM.

As the Course Director, he oversaw the course structure, learning flow, and curriculum design to ensure concepts are taught in a practical, structured, and beginner-friendly manner.