Generative AI like I’m 10

Why is it called ‘GenAI like I’m 10’
Because the course is for anyone who knows absolutely nothing about Generative AI tools and needs the first gentle hand-holding. People of all professions and age groups are welcome, 8 or 80, 25 or 65! Yes, even if your are in your 50s or 60s, you can start right away. All it needs is the first step. You’ll surprise yourself with the results!

What does this mean – Your first step into Generative AI, no matter your age
This is for the pre-beginner and beginner stage in Generative AI learning. It will help you decide which Generative AI tools may eventually be useful for your life and work, or not. It will open this window without any nonsense hype. It will arouse hope and optimism in you about how you can improve personal and business productivity, while remaining rooted. The magic here is opening your mind to possibilities.

So you’ll teach practical use of Generative AI in this course, right?
Yes. This course is about various practical details of using Generative AI and associated tools. We cover its standard applications spanning text, images, audio, video, brainstorming, ideation, prompting, documents, vibe-coding, deep research, therapy and companionship (with strict guardrails), and much more. Most major LLMs are introduced.

What’s the range of LLMs (Large Language Models) we will get to know about
Our focus is learning about GenAI applications. To do that, you need to use LLMs.
Hence, we’ll take a first look at the various (a) frontier models, (b) Chinese models, (c) Open-Source models, and (d) Small edge models.
We’ll learn all about Google AI solutions including Nano Banana Pro and NotebookLM.
Don’t get spooked by the heavy-sounding terms. We will simplify it for you in the course 😊. The idea is to remove fear from your mind and set a roadmap.

What are the most important things we will learn (using these LLMs)
We cover standard applications spanning text, images, audio, video, brainstorming, ideation, prompting, documents, vibe-coding, deep research, therapy and companionship (with strict guardrails), and much more. We do not delve deep into the technical aspects, but focus on general application aspects.

What technical knowledge do I need
No prior technical knowledge needed for this course. Students can be from any academic or social or work backgrounds, as mentioned above. As you move ahead in life armed with this knowledge, you may want to dive deeper into the technical aspects later. This course has a practical focus.

What kind of English does the mentor use
The mentor, with more than three decades of expert teaching experience, uses simple and understandable English. Downloadable notes provided for each lecture.

What does the mentor help me get from this course
He helps you build foundational understanding on GenAI, supports your exploration process, and helps decide your future course of action.

What are the course goals
1. To be a gentle hand-holding for what GenAI can do for you
2. Exposure to the wide range of Generative AI tools and their limitations
3. Building a first grip on using GenAI practically
4. Orientation to several real live LLM tools
5. First orientation to evolving use-cases
6. Assessment of your learning via integrated simple tests in each session
7. To help decide which tools may be great for your personal and work life

What are the specific deliverables here
This exciting course shows you what’s possible with LLMs (with abundant caution and guardrails needed). Listing below some applications possible:

– Generate social post images with on-brand colours, captions, and hashtags
– Mock up YouTube thumbnails (poses, headline text, background blur)
– Turn napkin sketches into logo/SVG concepts in multiple styles
– Draft simple infographics from bullet points (layout, icons, color keys)
– Create product mockups (app screens in devices, shirts, mugs, posters)
– Produce storyboard frames from a script (per-panel prompts + shot notes)
– Generate children’s book illustration ideas with page layouts
– Turn raw data into charts with auto-written annotations and titles
– Write podcast episode scripts, intros, and interview question banks
– Create voice-over scripts with timing marks, breaths, and emphasis
– Draft guided meditations and breathwork cues for calm/focus sessions
– Outline royalty-free music prompts (tempo, mood, instruments) for a music model
– Generate shot lists, camera moves, and B-roll prompts from a brief
– Auto-create subtitles, translate them, and style burn-ins
– Summarize long videos into highlight reels with precise timecodes
– Plan a micro-doc: theme, arc, scenes, interview angles, and pickup shots
– Daily mood journaling with gentle prompts and reflective summaries (not medical advice)
– Personalized coping plans, safety checklists, and grounding scripts
– Role-play for tough conversations (boundaries, apologies, negotiations)
– Sleep hygiene coach: wind-down routines and soothing narration scripts
– Vibe-coding: describe a feature → get an app skeleton (routes, components, API stubs)
– Turn a screenshot/mockup into accessible HTML/React scaffolding
– Generate tiny automations (shell/Python) for file renames, CSV cleanup
– Code review for readability, security lint, and perf tips
– Build prompt-driven agents/workflows (RAG outline, tools, eval checks)
– Plan trips with day-by-day itineraries, maps, and packing lists
– Turn scattered notes into a mini-wiki with tags and spaced-repetition cards
– Explain bills, policies, or legal clauses in plain language (not legal advice)
– Summarize expenses from lists and sketch a simple budget (not financial advice)
– Inbox triage: classify threads, draft replies, and escalate by rules
– Co-create creative pieces: poems, short stories, scene scripts

As mentioned, we will open your minds to these possibilities. Your exploration process begins once you are ready.
Changes in the course structure happens from time to time as LLMs evolve and new applications arrive.
(Applications covered in course may vary from the listing above, and change from time to time)

More specifically speaking …
1. Beautifully crafted 20 video lectures of 30 min each
2. Very empathetically crafted course, purely for beginners
3. Study material PDFs for each session (downloadable)
4. Tests for each session to solve online
5. Six months’ unlimited access to entire course
6. A ‘certificate of completion’ issued by Billion Hopes, upon successful completion of the course. This is not a degree or diploma, but a certificate of participation and completion.
7. A clear exposure to the vast range of modern Gen AI tools, what they can, and cannot do

What is not included
Programming, ML engineering, deep technical insights on LLMs or GenAI or Agentic AI etc. not included.

Do I need to do any other course prior to this
No. This is a standalone course that doesn’t need any other.
But we recommend you do all the AI Primer courses to get a full view of AI. A bundled offer is available.

Please read our Terms of Use and Disclaimer.