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Young Entrepreneurs Fest - Chapter 2 is here !

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AI for Everyone

Sessions Venue
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Benefits to join Boot Camp

1 Months of Detail Sessions (Face to Face & Online)

Enablers Trainer Support Program (EMS)

Dedicated Student Support on Private Facebook Group

The Upgraded Private Enablers Community

Course Overview

  • AI is no longer just for tech experts — it's for everyone. This practical one-month programme at Enablers gives you the knowledge, tools, and hands-on experience to confidently use Artificial Intelligence in your daily personal and professional life — no technical background required.

Learning Outcomes

  • Understand how AI works
  • Use popular AI tools with confidence
  • Boost your personal and professional productivity
  • Apply AI to your own field

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AI for Everyone

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Module Breakdown

  • How Language Models Work
    • What a large language model is and how it predicts text token by token
    • The difference between AI, machine learning, and generative AI in plain terms
    • Why models produce different answers to the same prompt and what "temperature" means
    • Common terms decoded: prompts, tokens, context window, hallucination
  • The Anatomy of Effective Context
    • Defining a clear role for the model to adopt
    • Stating the task and the underlying intent behind the request
    • Supplying examples to steer tone, structure, and style
    • Specifying the desired output format (table, bullet list, email, JSON)
    • Iterating and refining a prompt when the first result misses the mark
  • Hands-On with ChatGPT, Claude, and Gemini
    • Setting up accounts and navigating the interface of each tool
    • Running the same prompt across ChatGPT, Claude, and Gemini to compare responses
    • Saving, organizing, and revisiting past conversations
  • Accuracy and Verification
    • Recognizing hallucinations and confidently stated but incorrect answers
    • Cross-checking AI output against trusted sources before relying on it
    • Asking the model to cite reasoning and show its work
    • Knowing the limits of a model's training data and knowledge cutoff
  • Privacy and Data Basics
    • What happens to the information you type into a chatbot
    • Distinguishing sensitive data that should never be pasted into a public tool
    • Using settings to control chat history and training opt-outs
    • Workplace considerations for confidential or client information
  • Choosing the Right Model for a Task
    • Matching model strengths to task types: writing, reasoning, coding, research
    • When to use a fast lightweight model versus a slower advanced one
    • Comparing free and paid tiers and their practical differences
    • Building a simple decision habit for picking ChatGPT, Claude, or Gemini per job
  • Drafting Documents and Emails
    • Turning rough notes into a polished first draft
    • Adjusting tone for formal, friendly, or persuasive contexts
    • Rewriting, shortening, and expanding existing text
    • Generating replies to emails and adapting them before sending
  • Summarizing Reports and Long PDFs
    • Uploading a PDF and extracting key points and action items
    • Producing executive summaries at different lengths
    • Asking targeted questions about a long document instead of reading it end to end
    • Pulling structured data such as dates, figures, and decisions from a report
  • Sourced Research with Web Search
    • Running a research query and reading cited answers in Perplexity, or any AI tool with web search built in (ChatGPT, Claude, Gemini)
    • Verifying claims by following source links
    • Refining and following up to narrow a research topic
    • Knowing when to enable web search for current information versus relying on the model alone
  • Planning and Knowledge Management
    • Using AI to break a goal into a step-by-step plan or timeline
    • Brainstorming, prioritizing, and organizing ideas
    • Drafting meeting agendas, checklists, and project briefs
    • Capturing and structuring personal notes into reusable knowledge
  • Image Generation
    • Generating images with the built-in tools in ChatGPT or Gemini
    • Writing image prompts that describe subject, style, and composition
    • Iterating on a generated image to adjust details
    • Practical uses: slides, social posts, illustrations, and mockups
  • Automation Concepts
    • What a workflow automation is: triggers, actions, and data passing between apps
    • Identifying repetitive tasks that are worth automating
    • How connected apps talk to each other through these platforms
  • Building in n8n, Zapier, and Make.com
    • Touring the editors of n8n, Zapier, and Make.com and how they differ
    • Creating a simple trigger-and-action workflow from scratch
    • Connecting common apps such as email, sheets, and forms
    • Testing, running, and troubleshooting an automation
    • Comparing when each platform is the better fit
  • AI-Assisted Coding Tools
    • Overview of Cursor, Lovable, Claude Code, and v0 and what each is for
    • How describing what you want in plain language produces working code
    • Setting up a project without writing code manually
  • Building and Deploying a Portfolio Site
    • Describing the pages, sections, and content the site should contain
    • Generating the site and previewing it live
    • Refining layout, colors, and copy through follow-up instructions
    • Deploying the finished site to a public URL and sharing it
  • Tailored to Your Profession
    • Modules 7 and 8 are dedicated to a specialization track chosen by the learner
    • Available tracks: Educators, Researchers, Finance Professionals, Legal Professionals, Healthcare, Digital Marketers, Data Analysts, and HR Professionals
    • All content, examples, and exercises are tailored to the chosen profession
    • Applies the foundation skills from Modules 1–6 to real tasks within the field
  • Capstone Deliverable
    • Each learner produces a capstone deliverable relevant to their chosen field
    • The deliverable demonstrates the AI skills applied to a realistic professional scenario
    • Guided work and feedback through to completion
  • Portfolio Showcase
    • The completed capstone is showcased on the learner's personal portfolio website
    • Presenting the work and the process behind it
    • Finalizing the portfolio as a shareable artifact of the program