AI For Everyday Productivity & Automation (1 Week)

Day 1: Foundations, Safety, Prompt Engineering, and Core Text Productivity

Core Philosophy: AI as an Assistant (The “AI le sabaiko job khancha?” concept).
Invisible AI Helper (How AI is Saving Us Time): Quick review of AI in daily life (Spam Filter, YouTube Recommendation, etc.).
Global Impact: Reviewing What’s Happening in the World with help of AI? (e.g., AI in Education, Agriculture, Self-Driving Cars).
AI is not Brain: What is AI in reality?
Safety Integration: Critical discussion on AI Chaos (Hallucinations, Deepfake, Seeing is not believing).
Prompt Engineering Deep Dive:
- Structuring effective prompts (Role, Task, Context, Format).
- Techniques for creative prompting (temperature, style, and persona control).
Hands-on Practice Focus: Generating structured content for everyday tasks (Email Samples, Poem Generation, Story Generation).
Core Text Hands-on: Using Gemini and ChatGPT to transform Messy Notes to Digital Copy (grammar, spelling, tone).
Hands-on: Practicing Quick Reply principles.

Day 2: AI Search Mode, Agentic Assistance, Deep Research, and NotebookLM

AI Search Mode: Introduction to the AI-driven features in Google Search (SGE) for quick synthesized answers.
The Agentic Assistant (Workspace Automation Gemini): Using AI for high-level tasks and structured advice (My Personal Coach).
Guided Learning Portion: Structured exercises or tutorials designed to reinforce specific AI concepts or tool functionalities (e.g., a short, self-paced module)
Deep Research: Strategies for asking AI to synthesize complex information from multiple sources.
NotebookLM: Deep dive into using this tool as a hyper-focused research assistant for synthesizing information across a set of provided personal documents.
Hands-on: Comparing AI Search results to LLM outputs.
Hands-on: Using NotebookLM to answer complex questions based on document sets

Day 3: Generative Studio: Image, Video, Audio Generation, and AI Studio

Image Generation: Utilizing AI tools to Generate Image for presentations and branding.
Video Generation: Introduction to tools like Whisk and Meta AI concepts for quick social media clips.
Storybook Generation: Practical exercises in drafting short, structured narratives using AI tools.
Audio Generation (Suno AI): Exploring tools like Suno for text-to-music/audio generation.
Google AI Studio: Introduction to the platform for App Building—understanding model parameters (Temperature, Top-P) and the concept of function calling
Hands-on: Generating unique images and an audio clip.
Hands-on: Creating a basic prompt template in AI Studio.

Day 4: Practical Design with Canva AI and Video Editing

Canva AI Deep Dive (Image): Using AI tools within Canva for simple image ad making (layout generation, element suggestion, etc.).
Canva AI Deep Dive (Video): Practical video editing for social media (quick cuts, adding B-roll, automated captions/subtitles), using assets generated in Day 3.
Hands-on: Creating a full social media image ad and a 15-second video clip using Canva’s AI features, ready for deployment.

Day 5: Workflow Automation Mastery with n8n

The Power of n8n: Moving from single-prompt AI to automated, end-to-end workflows.
n8n Fundamentals: Triggers, nodes, and connecting web services (e.g., Drive, Slack, Sheets).
Integrating AI: Building a workflow that connects the Gemini/ChatGPT API with another application.
Hands-on: Building and executing a functional, multi-step n8n workflow, such as: “Monitor a folder for a new file, send the file to an AI model for summarization, and post the summary to a team chat.”

Day 6: Revision, Final Project, Future Tools, and Conclusion

Revision and Q&A: Comprehensive review of the course’s key concepts and tools.
Final Project Presentation: Short presentations of the n8n workflows built in Day 5, highlighting a practical business or personal use case.
Future Tools in Market (Google Labs): Introduction to emerging tools like Gemini Gem, Opal, and Mixboard and a discussion on how to stay updated with future AI developments from Google Labs.
Conclusion and Certification: Wrap-up, key takeaways, and next steps for continued learning.

Want to know more? Enter your information to learn more about this course.

Day 1: Foundations, Safety, Prompt Engineering, and Core Text Productivity