Master AI in 14 Weeks.
Zero Cost. Zero Coding.

Installing AnythingLLM

• Download and install AnythingLLM Desktop on Windows, Mac, or Linux — one installer, guided setup
• Download your first model: AnythingLLM's built-in model picker recommends models based on your hardware
• First conversations: ask the same 5 questions to your local model, observe response quality and speed
• Explore the interface: chat panel, workspace sidebar, settings, model selection
• Upload a document: drag a PDF or text file into your workspace, ask questions about it — experience RAG immediately
• Troubleshooting session: resolve installation issues, optimize settings for your hardware

Cloud Comparisons & Supplementary Tools

• Create free accounts: Google AI Studio (Gemini), Groq, HuggingFace
• ChatGPT free tier: set up account, understand usage limits and ad-supported model
• Side-by-side test: same prompt on local AnythingLLM vs. Gemini vs. Groq — compare speed, quality, and privacy
• Connect a cloud provider in AnythingLLM: add Google Gemini or Groq API key, switch between local and cloud in settings
• Set up NotebookLM: upload a sample document, compare its Q&A quality with AnythingLLM's document chat

Exploring AI Capabilities

• Creative writing test: ask AI to write a short story, poem, and joke in English and your preferred local language
• Factual accuracy test: ask AI 20 factual questions, verify answers, calculate accuracy rate
• Reasoning test: give AI logic puzzles and math problems, observe where it succeeds and fails
• Document Q&A test: upload a 10-page document to AnythingLLM, ask 10 questions — rate answer quality
• Group exercise: each student finds one thing AI does surprisingly well and one thing it fails at

Office Hours & Assessment

• Resolve any remaining setup issues — every student must have a working AnythingLLM with a downloaded model
• Written reflection: explain AI to a family member in 300 words (no jargon)
• Quiz: 20 questions on AI fundamentals, model types, and limitations
• Submit: screenshot of working AnythingLLM setup with a completed conversation and document Q&A

Core Prompting Techniques

• Zero-shot challenge: write 10 prompts for different tasks, evaluate output quality, refine each one
• Few-shot exercise: for 5 tasks, add examples to your prompts and compare quality with zero-shot
• Chain-of-thought practice: use step-by-step reasoning for math, logic, and analysis problems
• Format control: get AI to output as markdown table, numbered list, JSON, and formal letter

Workspaces & Personas

• Create 5 workspaces in AnythingLLM: professional editor, translator, study tutor, career advisor, recipe creator
• Set custom system prompts in each workspace to define the AI's role and behavior
• Test each workspace: give the same input to different workspaces, compare outputs
• Create a "strict fact-checker" workspace that always qualifies uncertainty and asks for sources

Building Your Prompt Library

• Create a personal prompt library document with your 20 best prompts across categories
• Categories: writing, research, analysis, creativity, translation, summarization, decision-making
• Prompt refinement exercise: take 5 weak prompts, iterate 3 times each, document improvements
• Group activity: prompt swap — exchange prompts with classmates, rate effectiveness

Office Hours & Assessment

• Prompt engineering challenge: given 5 tasks, write the best prompt for each (timed exercise)
• Submit prompt library with minimum 20 categorized prompts
• Peer review: evaluate 2 classmates' prompt libraries for quality and coverage

Email & Professional Writing

• Draft 10 professional emails: cold outreach, follow-up, complaint, appreciation, request for information
• Tone transformation: take one email and produce 5 versions — formal, casual, urgent, apologetic, enthusiastic
• Response generation: given 5 received emails, generate appropriate replies
• Multilingual exercise: draft 3 emails in your local language and 3 in English, then translate each to the other language

Document-Powered Writing

• Upload reference materials to an AnythingLLM workspace, then use them to draft a research summary
• Summarization challenge: upload a 5-page document, produce 1-paragraph, 1-page, and 3-bullet summaries
• NotebookLM comparison: upload the same documents to NotebookLM, generate audio overview, compare with AnythingLLM's text summaries
• Proposal writing: upload background materials, use AI to draft a project proposal that references the source documents

Creative & Personal Writing

• Blog post creation: pick a topic you know well, use AI to help draft, edit, and polish a blog post
• Social media content: generate posts for LinkedIn, Twitter, and Instagram from a single topic
• Letter writing: formal complaint, cover letter, recommendation letter — each with AI assistance
• AI editing exercise: write 500 words yourself, then use AI to improve grammar, clarity, and flow

Office Hours & Assessment

• Portfolio submission: 5 polished writing samples created with AI assistance this week
• Process documentation: for each sample, document the prompts used and iterations made
• Peer review: edit a classmate's AI-assisted document using AI as your editing tool

Research Workflows

• End-to-end research project: choose a topic, use AI to generate research questions, find key themes, and synthesize findings
• Document-powered research: upload 5 source documents to an AnythingLLM workspace, conduct a structured Q&A session across all sources
• Fact-checking exercise: AI gives you 20 claims about your region — verify each one, score AI accuracy
• Compare: same research question asked to AnythingLLM (with documents) vs. cloud AI (without) — note the quality difference

AI as a Personal Tutor

• Pick a topic you don't understand: use AI to explain it at 5 levels (child, student, professional, expert, peer)
• Socratic learning: have AI ask YOU questions about a topic to test and deepen understanding
• Exam preparation: upload study material to AnythingLLM, generate practice questions and flashcards
• Language learning: use AI to practice conversational skills in any language of your choice — with corrections

Decision-Making & Analysis

• Decision matrix: use AI to structure a complex personal or professional decision with pros, cons, and criteria
• Market research simulation: research a business idea using only AI tools, produce a 1-page feasibility brief
• News analysis: take 3 news articles on one event, use AI to identify biases and synthesize a balanced view
• Group project: teams of 3 research a topic and present findings — all research conducted with AI tools

Office Hours & Assessment

• Research report submission: complete research project with citations and fact-check documentation
• Accuracy log: document every AI claim you verified this week and whether it was correct
• Quiz: 15 questions on research methodology, fact-checking, and source evaluation with AI

Planning & Organization

• Build a travel planner workspace: create a detailed 5-day itinerary using AI (budget, activities, logistics)
• Project timeline: describe a project, have AI generate a timeline with milestones and dependencies
• Weekly planner workspace: build a personalized schedule assistant in AnythingLLM that considers your goals
• Event planning: use AI to plan a community event — checklist, timeline, budget, and communication templates

Custom AI Workspaces

• Build 5 purpose-specific workspaces in AnythingLLM for roles relevant to your life: study assistant, recipe planner, fitness tracker, budget helper, career mentor
• Upload relevant documents to each workspace: recipes to the cooking workspace, course materials to the study workspace
• Test and refine: use each workspace for a real task, iterate on the system prompt based on results
• Document: create a "user manual" for your best workspace so others can replicate it

Real-Life AI Applications

• Government forms: use AI to understand and fill out a common government application (with AI explaining each field)
• Health literacy: ask AI to explain a medical report or health concept — practice identifying when AI should defer to professionals
• Consumer research: use AI to compare 3 products or services with structured evaluation criteria
• Multilingual assistance: complete a real task entirely in a language other than English using your local model

Month 1 Assessment

• Month 1 Exam: Practical (demonstrate AnythingLLM setup, workspaces, document Q&A, prompt engineering, writing and research workflows) + Written (20 questions on AI fundamentals, prompting, and responsible use)
• Portfolio review: submit all weekly work products with process documentation
• Self-assessment: document your AI comfort level, strongest skills, and areas for growth

Spreadsheet AI Basics

• Formula generation: describe 10 calculations in plain English, get AI to write the Excel/Sheets formula
• Google Sheets + Gemini: use built-in AI to summarize data, create charts, and auto-format
• Data analysis: upload a sample CSV to AnythingLLM, ask analytical questions about trends and patterns
• Error checking: AI generates 10 formulas — manually verify each one for correctness

Real Dataset Analysis

• Analyze a real public dataset (government data, census, weather) using AI-assisted tools
• Build a summary report: use AI to generate insights and write the narrative around the numbers
• Budget tracker: create a personal or small business budget using AI to categorize and project expenses
• Cross-tool comparison: same dataset analyzed in AnythingLLM vs. Google AI Studio — compare insights

Data Visualization & Reporting

• Chart creation: describe 5 different visualizations in plain language, get AI to generate the specifications
• Dashboard mock-up: use AI to design a simple KPI dashboard layout for a mock business
• Report generation: take raw data and produce a polished 2-page analysis report with AI assistance
• Group exercise: teams receive the same dataset, each team presents different AI-generated insights

Office Hours & Assessment

• Submit: complete data analysis report with AI-generated visualizations and narrative
• Accuracy audit: document every AI calculation or insight that required correction
• Practical test: given a new dataset, produce 5 insights with AI assistance in 30 minutes

Presentation Building

• Build a complete presentation on any topic using AI for outline, content, and talking points
• Canva Free: create 5 slides using AI-powered design suggestions and templates
• Speaker notes: use AI to generate detailed speaker notes for each slide
• Before/after: create a presentation without AI, then remake it with AI — compare quality and time

Image Generation

• Microsoft Image Creator: generate 10 images using different prompt styles (descriptive, artistic, photographic)
• HuggingFace Spaces: explore Stable Diffusion interfaces, generate images with various parameters
• Ideogram: test text-in-image generation for logos, posters, and signage
• Prompt iteration: take one concept, generate 5 versions with increasingly refined prompts

Visual Content Pack

• Create a complete visual content pack for a mock business: logo concepts, social media posts, presentation slides, and product mockups
• Infographic: use AI to design an infographic layout and generate the visual elements
• Photo editing concepts: explore free AI tools for background removal, enhancement, and styling
• Portfolio piece: produce one polished visual that showcases your best AI image generation skills

Office Hours & Assessment

• Submit: complete presentation + visual content pack
• Presentation delivery: present your AI-created deck to the class (5 minutes each)
• Ethics discussion: group discussion on responsible AI image use, deepfakes, and attribution

Domain Exploration

• Each student picks their professional domain and explores 10 AI use cases specific to their field
• Create a dedicated AnythingLLM workspace for your profession with relevant documents uploaded
• Use case documentation: for each use case, test it with your professional workspace and document quality and limitations
• Cross-domain learning: pair up with someone from a different field, teach each other your best AI workflows

Building Professional Workspaces

• Create 3 specialized workspaces in AnythingLLM tailored to your professional role, each with relevant reference documents
• Test with real scenarios: use actual tasks from your work or studies to test each workspace
• Iteration: refine system prompts and document selection based on output quality — document what improved and why
• Template creation: build reusable prompt templates for your 5 most common professional tasks

Professional AI Workflow Demo

• Build a complete professional workflow: input (real task) → AI process → output (polished deliverable)
• Document the workflow step-by-step so a colleague could follow it
• Group presentations: each student demos their best professional AI workflow (5 minutes)
• Peer feedback: rate each workflow on usefulness, quality, and reproducibility

Mid-Program Assessment

• Submit: professional AI toolkit documentation (3 workspaces + 5 templates + 1 complete workflow)
• Mid-program portfolio: compile all work products from Weeks 1–8
• Self-assessment: update your AI comfort level, identify growth areas for Month 3

Transcription & Summarization

• AnythingLLM meeting recording: record a practice meeting, observe automatic transcription and summary generation
• Custom summary templates: configure AnythingLLM to produce summaries in your preferred format (action items, decisions, key points)
• Whisper on HuggingFace: transcribe a 10-minute audio recording, compare quality with AnythingLLM's built-in transcription
• Multilingual transcription: test audio in English and another language of your choice, evaluate accuracy

Meeting & Audio Workflows

• Build a complete meeting notes workflow: record → transcribe → summarize → action items → follow-up email
• Chat with transcripts: upload a meeting transcript to AnythingLLM, ask questions about what was discussed
• NotebookLM Audio Overviews: upload 3 documents, generate podcast-style audio summaries, evaluate quality
• Video summarization: extract key points from 3 educational videos using AI

Voice-Driven Productivity

• Voice-first workflow: dictate a document idea using AnythingLLM's speech-to-text, then use AI to organize and polish
• Interview simulation: role-play an interview, transcribe it, then use AI to extract insights and themes
• Podcast planning: use AI to outline episodes, generate show notes, and create promotional content
• Accessibility project: take a document and use AI to create an audio version, simplified summary, and multilingual translations

Office Hours & Assessment

• Submit: complete meeting notes workflow documentation with sample output
• Practical test: given an audio file, produce transcript, summary, and action items in 20 minutes
• Group review: share and compare meeting workflows, vote on the most efficient one

Tool Audit & Decision Matrix

• Build a personal AI decision matrix: map every task type to the best tool (AnythingLLM workspace, Gemini, Groq, NotebookLM, etc.)
• Benchmark test: time yourself completing 5 tasks with and without AI — measure actual productivity gain
• AnythingLLM optimization: review your workspaces, clean up unused ones, organize by project or role
• Model management: try different models in AnythingLLM for different tasks, document which works best where

Workflow Chaining

• Build a multi-step workflow: research a topic → draft a report → edit for clarity → format for presentation
• Cross-tool workflow: use AnythingLLM document Q&A for research, local model for drafting, Gemini for editing — chain them together
• Template your workflow: document each step so you can repeat it efficiently next time
• Efficiency optimization: identify bottlenecks in your workflow and find faster approaches

AI Operating System

• Document your complete personal AI toolkit: every tool, what it's for, how you access it, your best prompts for it
• Create a 1-page quick reference card for your top 10 AI workflows
• Peer exchange: share toolkits with classmates, adopt at least 2 new workflows from others
• Teach-back exercise: explain your AI setup to a complete beginner in 5 minutes

Month 2 Assessment

• Month 2 Exam: Practical (demonstrate professional workflows, data analysis, visual content creation, audio processing) + Written (analysis of when and how to use different AI tools)
• Portfolio review: submit complete Month 2 work products including professional toolkit documentation
• Capstone project announcement: review capstone requirements, begin brainstorming

Multi-Workspace Knowledge Systems

• Build a knowledge base from 15+ documents organized across 3 workspaces (e.g., by topic, by project, by department)
• Cross-workspace comparison: ask the same question to different workspaces with different document sets — observe how context shapes answers
• Format experiment: test how document format (PDF, text, Word) affects AnythingLLM's answer quality
• Query mode: switch a workspace to query-only mode so AI answers exclusively from your documents — test accuracy vs. open chat mode

AI Agents

• Enable AnythingLLM's agent features: explore built-in tools for web search, document summarization, and file operations
• Build an agent workflow: have the agent research a topic online, summarize findings, and save results to a document
• SQL agent (if applicable): connect a sample database and ask natural language questions about the data
• Agent limitations: test where agents fail, identify tasks that still require human judgment

Advanced Features & Alternatives

• Multimodal exploration: if your model supports it, upload images to AnythingLLM and ask AI to describe or analyze them
• Ollama + Open WebUI intro: for students who want more control, install Ollama separately and see how the component approach works
• Model comparison for RAG: test which local model performs best for document Q&A on your hardware
• Build a department FAQ assistant: collect 20 common questions, upload source documents, test with a classmate acting as user

Office Hours & Assessment

• Submit: knowledge base project with 15+ source documents and demonstration of 20 Q&A interactions
• Accuracy audit: for each answer, rate whether the AI was correct, partially correct, or wrong
• Practical test: given a set of documents, build a knowledge base and answer 10 questions in 30 minutes

Bias Detection & Mitigation

• Bias audit: test AI models for gender, regional, cultural, and socioeconomic bias using structured prompts
• Language bias: compare AI responses in English vs. local languages — note quality differences
• Stereotype testing: ask AI to describe professionals, leaders, and families — identify implicit biases
• Mitigation exercise: write prompts that reduce bias in AI outputs, document effective techniques

Misinformation & Deepfakes

• Deepfake detection: examine 10 real and AI-generated images, develop a checklist for spotting fakes
• Fake content generation awareness: understand how easy it is to create convincing fake text, images, and audio
• Fact-checking workflow: build a systematic process for verifying AI-generated claims about current events
• Group debate: discuss real-world cases where AI misinformation caused harm — what could have been done?

Privacy & Responsible Use

• Privacy comparison: demonstrate the difference between asking a sensitive question in AnythingLLM (local) vs. cloud AI — where does data go?
• Data sensitivity exercise: categorize 20 types of data as safe or unsafe to share with cloud AI
• Build a personal AI ethics framework: written guidelines for your own AI use, including red lines
• Responsible use policy: draft an AI use policy for a mock organization — what's allowed, what's not, what needs review

Office Hours & Assessment

• Submit: personal AI ethics framework and organizational responsible use policy
• Group presentation: teams present their bias audit findings and mitigation recommendations
• Ethics quiz: 20 scenario-based questions about appropriate AI use

Project Setup

• Finalize project scope, set up all workspaces and workflows

Build & Test

• Build and test the solution, iterate on quality

Documentation

• Write step-by-step guide, prepare demonstration

Rehearsal

• Rehearsal presentations with peer feedback, final refinements

Presentations

• Each student presents (10-minute demo + 5-minute Q&A)
• Panel includes instructor, TAs, and ideally guest professionals or local industry representatives
• Judging criteria: problem clarity (20%), solution quality (30%), demonstration skill (25%), documentation (25%)
• Peer scoring: each student rates 5 classmates' projects anonymously

Awards & Continuing Education

• Best project awards: most innovative, most practical, best documentation, people's choice
• Continuing learning roadmap: communities to join, model releases to follow, skills to develop next
• Staying current: how to evaluate new AI tools independently using skills from this program
• Advanced paths: exploring Ollama + Open WebUI for component-level control, or AI for developers
• Building your community: start a local AI users group to continue learning together

Graduation

• Certificate distribution (digital certificates for all graduating students)
• Optional: on-chain certificate NFT for students who want blockchain-verified credentials
• Alumni network: Discord/WhatsApp/Telegram group for continued learning and collaboration
• Final class photo and celebration
• Feedback survey: what worked, what didn't, what should change for the next batch