The skills behind every Rana-AI Tech course

The plain-English foundations every employee needs: what AI is, how to talk to it, how to choose a tool, and how to use it safely.

• Explain what AI and LLMs are in plain terms
• Hold an effective AI conversation and refine outputs
• Apply core AI safety habits: privacy, verification, human oversight
• Choose an appropriate AI tool for a task
• Produce work products with AI (documents, images, templates)
• Ground AI with your own files, the web, and research
• Describe what an AI agent is and its guardrails
• Apply AI to your own role
• Maintain a sustainable personal AI practice
• Recognize that AI-tool choice is low-stakes and reversible
• Identify the main AI platforms and who makes them
• Explain what all AI platforms have in common
• Compare the strengths of the major AI platforms
• Decide when free vs paid AI is appropriate
• Apply data-safety rules when choosing a platform
• Recognize AI built into existing business tools
• Use a decision framework to choose a platform
• Run a fair head-to-head comparison of AI tools
• Explain why prompting is the core AI skill
• Structure a prompt with role, task, context, format, and example
• Improve results by giving the AI an example
• Control an AI output's format, length, and tone
• Refine AI output through iteration
• Use a role to sharpen AI output
• Apply prompt patterns for common office tasks
• Build and reuse a personal prompt library
• Avoid common prompting pitfalls

Hands-on fluency with the major platforms — Claude, ChatGPT, Copilot and Gemini — applied to real business work.

• Explain what Claude is and where it fits
• Assess Claude's strengths and weaknesses
• Access Claude across web, desktop, mobile, and browser
• Distinguish the desktop app's Chat, Cowork, and Code modes
• Delegate multi-step work to Claude using Cowork
• Organize and create with Projects, Artifacts, and Skills
• Ground Claude with files, web, research, and connectors
• Use Claude on mobile and via Dispatch
• Describe what Claude Code is and who it's for
• Choose the right Claude plan and model
• Explain what ChatGPT is and where it fits
• Assess ChatGPT's strengths and weaknesses honestly
• Access ChatGPT across web, desktop, mobile, and the Atlas browser
• Choose the right model from the picker (Instant, Thinking, Pro)
• Find, use, and build GPTs via the GPT Store
• Organize work with Canvas, Projects, and Memory
• Do real work with data analysis, files, and image generation
• Use voice, vision, and search effectively
• Delegate multi-step tasks with ChatGPT agent
• Choose the right ChatGPT plan and understand API billing
• Explain what Microsoft Copilot is and where it fits
• Tell the Copilot products apart (free vs paid, consumer vs work)
• Assess Copilot's strengths and weaknesses honestly
• Access Copilot across web, Windows, mobile, in-app, and Edge
• Use Copilot inside Word, Excel, PowerPoint, Outlook, and Teams
• Explain Microsoft Graph grounding and its permission model
• Use agents, Cowork, and Copilot Studio
• Describe the models behind Copilot (GPT and Claude)
• Choose the right Copilot plan and understand licensing
• Apply Copilot well with good governance and data hygiene
• Explain what Google Gemini is and where it fits
• Assess Gemini's strengths and weaknesses honestly
• Access Gemini across web, mobile, Workspace, Chrome, and desktop
• Choose the right Gemini model (Flash, Pro, Deep Think)
• Use Gemini inside Google Workspace (Gmail, Docs, Sheets, Slides, Meet)
• Create with Gemini's multimodal tools (images, video, Gemini Live)
• Use Deep Research, Canvas, and Gems
• Delegate multi-step tasks with Gemini Agent
• Choose the right Gemini plan and the Google One bundle
• Apply Gemini well across the Google ecosystem

Power-user, builder and executive skills: automation, APIs, agents, evaluation, governance, cost and ROI.

• Make a real Claude API call and read the request and response
• Control API cost with caching, batch, and model tiers
• Build a simple agent on the API
• Build an MCP server
• Evaluate and test AI outputs
• Govern AI use: security, privacy, and compliance
• Separate AI hype from reality and lead the AI agenda
• Calculate the true total cost of ownership of AI
• Decide where to augment vs. replace work with AI
• Build a credible, defensible AI ROI case
• Identify the AI security risks executives own
• Establish a corporate AI policy and training program
• Provide effective AI oversight and accountability
• Build and execute an executive AI action plan
• Think in repeatable AI systems, not one-off chats
• Write reusable instructions and config files
• Build a custom AI assistant
• Build reusable skills, commands, and a prompt library
• Connect AI to your tools and data without code
• Automate multi-step work with human oversight
• Do advanced document, data, and multimodal work
• Apply AI to real projects and measure the results

The end-user AI-safety strand: protect data and privacy, classify what is safe to share, and keep a human in the loop.

• Recognize personal responsibility for safe AI use
• Explain how AI tiers use, retain, and train on data
• Classify data green/yellow/red before sharing
• Secure AI accounts and sessions
• Configure data-control settings on major AI tools
• Redact and anonymize inputs before sharing
• Route AI adoption through approved channels
• Recognize AI-enabled phishing, deepfakes, and prompt injection
• Verify AI output before trusting it
• Produce and follow a personal safe-use checklist

• Reading the exposure & impact estimates
• Task-vs-occupation exposure analysis
• The displacement vs productivity lens
• Growth-claim skepticism
• Following the gains (labor share & concentration)
• The demand paradox
• Income-vs-jobs framing
• Evaluating redistribution designs
• Using historical analogies honestly
• Scenario reasoning
• Transformed, not terminated
• Is my job exposed
• The durable human edge
• Working WITH AI
• Reskilling and upskilling
• AI-resilient and emerging careers
• The portfolio career
• An adaptable mindset
• Future-proofing action plan
• The new rules of deception
• Voice clones and emergency scams
• Deepfake video and authority fraud
• Deepfake images and fading tells
• AI phishing, romance and investment scams
• Sextortion and non-consensual imagery
• Locking down accounts and data
• The verification habit
• Respond, report and recover
• Your money and the one big rule
• Budgeting with AI
• Decoding money jargon with AI
• Smart shopping with AI
• A business plan and side-income
• Solopreneur productivity
• AI is not your financial advisor
• Money scams in the AI era
• Your AI-and-money playbook
• The hidden footprint
• The power bill: training and inference
• Carbon and the honest counter-fact
• Water, land and the neighbours
• Hardware, minerals and e-waste
• The Jevons trap
• Data centers in space
• Night sky, astronomy and Kessler
• Weighing the tradeoffs