- Building the foundation: What AI is, how it “thinks,” and how to trust it.
- Understanding the Landscape: AI vs. Automation vs. Generative AI.
Key Terminologies Simplified
Neural Networks, Parameters, and Training Data
LLMs (Large Language Models)
AI, ML, DL, Generative AI
Generative AI vs. Agentic AI
Parameters & Neural networks
CPU, GPU, TPU
- The "Jagged Frontier": What AI is excellent at vs. what it struggles with.
Ethics & Trust Discussion
- Understanding "Hallucinations" (Why AI lies).
- Data Privacy: Public vs. Enterprise mode (When to keep data private).
- Copyright and Intellectual Property basics.
- Discussion: AI and future of AI
- The most critical skill: Learning to speak the language of AI before using specific tools.
The Anatomy of a Perfect Prompt: Context, Task, Constraints, Format.
Prompting Frameworks: Using the R.T.F. (Role, Task, Format) method.
Iterative Refinement: How to "chat" to improve results (Chain of Thought).
Zero-Shot vs. Few-Shot: Giving examples to get better outputs.
Lab: Do It Now
Turning a vague request into a high-precision prompt. Various exercises to learn prompting styles.
- Using Chatbots (ChatGPT, Gemini, Claude) for management and administration.
Professional Writing
Drafting and rewriting emails for tone (Diplomatic vs. Assertive).
Proofreading and translation.
Content Synthesis: Summarizing long articles, meeting notes, or email threads.
Strategic Thinking
Using AI as a "Devil's Advocate" to critique ideas.
Brainstorming and ideation techniques.
Roleplay Simulation
Practicing difficult conversations with an AI persona.
- Transforming data into insights using AI.
- Data Preparation: Using AI to clean messy data and fix formatting issues.
- Formula Generation: Writing complex Excel formulae using natural language.
Analysis & Insights
"Chat with your Data": Identify trends and outliers instantly.
Pivot Tables and Chart generation via AI prompts.
Advanced Capabilities: Introduction to Python in Excel (optional) and Macros.
Analyse data with charts: create charts that doesn’t exist in Excel with Python
Lab: Do It Now
- Lab 1: Working with data in excel and generate various analytical reports.
- Lab 2: Create automated dashboard on any data
- Moving from blank slides to finished decks in minutes.
Content to Deck: Converting Word documents/Reports into slide structures.
Slide Design: Using AI Designer to handle alignment, iconography, and themes.
Speaker Enablement
Auto-generating script notes and talking points.
Proofreading slide content.
Engagement: Creating interactive elements and quizzes.
Visual, Audio, and Video tools for marketing and documentation.
Image Generation (Midjourney, DALL-E 3, Adobe Firefly)
Creating flyers, social media assets, and presentation visuals.
Lab
Generate various images using prompt and understanding the limitations of this feature
Video Production
Script-to-Video generation.
AI Avatars and Text-to-Video basics.
Lab
Generate video and see how multiple videos are turned in to a movie scenes
Audio Intelligence
Voice cloning and Text-to-Speech generation.
Meeting transcription and summarizing audio recordings.
Background noise removal for professional audio.
Lab
Turn your boring presentation in to AI generated voice narration PPT / video
- Handling heavy information loads using RAG (Retrieval Augmented Generation).
Chat with your Documents: Using NotebookLM and Edge Sidebar.
PDF Analysis: Extracting data, answers, and summaries from complex PDFs.
Video Analysis: Getting summaries and answers from YouTube videos without watching them.
Web Research: Using Perplexity AI for cited, accurate real-time search.
Lab: Do It Now
- Real world scenario on how to analyze PDF, video, documents, excel files at one single window
- Converting video to summary notes
- A guided tour of the essential tools and browsers.
The Big Three: ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google).
Search & Research: Perplexity AI, Bing Chat/Copilot.
Productivity: Microsoft 365 Copilot, Notion AI.
Browsers: Microsoft Edge (Sidebar features), Chrome (Gemini integration), Arc Search.
Lab
Use browsers to do day to day tasks, understanding unique features of all these browsers.
Popular Use Cases
Create a calling bot
Create a live application using AI to do anything that you want
Create a chatbot to answer queries of all the employees
Create your own avatar
Create various multimedia on the same platform
Demonstration of Microsoft 365 copilot paid features and Gemini paid features in the respective ecosystem of Microsoft and Google platforms
Demonstration of Indian AI: Sarvam AI
Course Benefits & Outcomes
Comprehensive AI Literacy
Participants will move beyond "hype" to understand exactly how LLMs work, their limitations, and the ethical considerations of using them in a corporate environment.
Tangible Productivity Gains
By mastering prompt engineering and workflow automation, learners can reduce time spent on drafting, data cleaning, and summarizing by up to 50%.
Data-Driven Capabilities
Empowers non-technical staff to perform complex data analysis in Excel using natural language, democratizing data insights across the team.
Communication Mastery
Enhances both written and visual communication through AI-assisted editing, tone calibration, and professional slide design.
Future-Proof Skills
Focuses not just on specific tools (which change), but on the fundamental skills of human-AI collaboration that will remain relevant for years.
Practical, Hands-On Focus
Every module includes "Do It Now" labs where participants apply AI to real-world assets (emails, spreadsheets, PDFs) rather than just watching theoretical demonstrations.