Practical AI for Work — Curriculum & Syllabus | CyberIntel AI Academy
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Practical AI for Work

In-person (Chantilly) or live online All levels ·$1,200

Learn LLMs, prompting, AI tools, productivity workflows, and responsible AI use for real-world work.

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No payment now — we’ll email the next cohort dates and pricing for both formats.

// who it's for

Who this program is for

  • Business, product, and operations professionals who want practical AI fluency
  • Managers and individual contributors who are new to AI tools
  • Anyone who wants to use AI responsibly and effectively in everyday work
// what you'll learn

What you will learn

  • Understand how large language models work and where they fail
  • Write clear, effective prompts and build reusable templates
  • Apply AI to writing, research, analysis, and daily workflows
  • Automate repetitive tasks and build simple AI assistants
  • Use AI responsibly with privacy, security, and ethics in mind

A hands-on foundation program that takes you from AI curiosity to confident, responsible everyday use. Taught in person in Chantilly or live online, with practical exercises in every module so you apply each concept to real work — not just watch it.

// syllabus

Curriculum

The full program syllabus — expand any chapter to see its lesson-by-lesson detail.

01Getting Started with Everyday AIOrient yourself to today's AI tools and set up a workspace you can actually use at work.
  • 1.1What AI can and cannot do today
    A realistic picture of current AI strengths and limits.
  • 1.2The modern AI toolkit: chat, copilots, and assistants
    The main categories of tools and when to use each.
  • 1.3Setting up your AI accounts and workspace
    Get the right tools configured for daily use.
  • 1.4Free vs. paid AI tools: choosing what you need
    Decide which tiers are worth it for your work.
  • 1.5Your first useful conversation with an AI
    Run a real task end to end from the start.
  • 1.6Understanding tokens, context, and limits
    Why length and context affect every response.
  • 1.7Privacy basics: what not to paste into AI tools
    Protect sensitive and confidential information.
  • 1.8Verifying AI output and avoiding blind trust
    Build the habit of checking before you rely on it.
  • 1.9A simple framework for delegating tasks to AI
    Decide what to hand off and what to keep.
  • 1.10Common beginner mistakes and how to avoid them
    Skip the traps that waste time and trust.
  • 1.11Measuring the time AI actually saves you
    Track real impact instead of guessing.
  • 1.12Building a daily AI habit
    Turn occasional use into a consistent advantage.
02How Large Language Models Actually WorkA plain-language mental model of LLMs so you can predict their behavior.
  • 2.1What a large language model is, in plain language
    The core idea without the jargon.
  • 2.2Training data and where knowledge comes from
    How models learn and what they actually know.
  • 2.3Why models predict the next word
    The prediction engine behind every answer.
  • 2.4Strengths and weaknesses of LLMs
    Where they shine and where they struggle.
  • 2.5What 'hallucination' means and why it happens
    Why models invent confident, wrong answers.
  • 2.6Context windows and memory explained
    What the model can and can't remember.
  • 2.7Temperature and randomness in responses
    Why answers vary and how to control it.
  • 2.8System prompts vs. user prompts
    The hidden instructions that shape behavior.
  • 2.9Why the same prompt gives different answers
    Understand non-determinism in practice.
  • 2.10Knowledge cutoffs and staying current
    Why models lag and how to compensate.
  • 2.11Open vs. closed models: a practical overview
    The trade-offs that matter for your work.
  • 2.12Mental models for thinking about AI behavior
    Useful intuitions you can rely on.
03Prompting FundamentalsThe core prompting skills that make every AI tool dramatically more useful.
  • 3.1Anatomy of a good prompt
    The building blocks of a reliable prompt.
  • 3.2Being specific: context, task, and format
    Give the model what it needs to succeed.
  • 3.3Giving the model a role or persona
    Set perspective to improve answers.
  • 3.4Providing examples (few-shot prompting)
    Show, don't just tell, for better results.
  • 3.5Controlling tone and style
    Match voice to your audience and purpose.
  • 3.6Asking for structured output
    Get lists, tables, and formats you can reuse.
  • 3.7Setting constraints and boundaries
    Keep answers focused and on-scope.
  • 3.8Iterating and refining prompts
    Improve results through quick cycles.
  • 3.9Breaking big tasks into steps
    Decompose work for clearer output.
  • 3.10Reusable prompt templates
    Save and standardize what works.
  • 3.11Debugging prompts that don't work
    Diagnose and fix weak responses.
  • 3.12Building your personal prompt library
    Organize prompts for everyday reuse.
04Advanced Prompting TechniquesHigher-leverage techniques for complex tasks and more reliable answers.
  • 4.1Chain-of-thought and step-by-step reasoning
    Get the model to reason before answering.
  • 4.2Asking the model to plan before answering
    Improve quality with an explicit plan.
  • 4.3Self-critique and review prompts
    Have the model check its own work.
  • 4.4Comparing multiple options with AI
    Generate and weigh alternatives.
  • 4.5Role-based expert panels
    Simulate multiple perspectives at once.
  • 4.6Using delimiters and clear formatting
    Structure inputs the model parses well.
  • 4.7Grounding answers in your own text
    Anchor responses to source material.
  • 4.8Reducing hallucinations with better prompts
    Practical tactics to cut down errors.
  • 4.9Prompt chaining across multiple steps
    Connect prompts into a workflow.
  • 4.10Handling long documents in pieces
    Work around context limits effectively.
  • 4.11Combining instructions and examples
    Blend techniques for tough tasks.
  • 4.12When prompting isn't enough: tools and data
    Recognize the limits of prompting alone.
05AI for Writing and CommunicationUse AI to write faster and clearer while keeping your own voice.
  • 5.1Drafting emails faster
    Go from intent to a solid draft quickly.
  • 5.2Improving tone and clarity
    Polish messages for the right audience.
  • 5.3Summarizing long threads and messages
    Extract the point from noisy threads.
  • 5.4Writing reports and proposals
    Structure longer documents with AI help.
  • 5.5Adapting content for different audiences
    Reframe the same message for each reader.
  • 5.6Editing and proofreading with AI
    Catch errors and tighten your writing.
  • 5.7Brainstorming and outlining
    Generate and organize ideas fast.
  • 5.8Translating and localizing content
    Reach audiences in other languages.
  • 5.9Creating presentations and talking points
    Turn notes into clear talking points.
  • 5.10Keeping your authentic voice
    Use AI without sounding like a machine.
  • 5.11Avoiding generic, robotic writing
    Spot and fix bland AI output.
  • 5.12A review checklist before you hit send
    Final checks for accuracy and tone.
06AI for Research and AnalysisResearch, compare, and analyze faster while staying accurate.
  • 6.1Asking better research questions
    Frame questions that get useful answers.
  • 6.2Summarizing articles and reports
    Distill long sources into key points.
  • 6.3Comparing sources and viewpoints
    Weigh differing information side by side.
  • 6.4Extracting key facts and figures
    Pull the data you need from text.
  • 6.5Building briefs and overviews
    Assemble concise, useful summaries.
  • 6.6Fact-checking AI research output
    Verify before you act on findings.
  • 6.7Turning research into action items
    Convert insight into next steps.
  • 6.8Analyzing pros, cons, and trade-offs
    Structure decisions clearly.
  • 6.9Creating decision matrices
    Score options against your criteria.
  • 6.10Spotting bias in sources and answers
    Recognize slant in inputs and outputs.
  • 6.11Citing and tracking your sources
    Keep references organized and honest.
  • 6.12Limits of AI for current events
    Know where the model's knowledge ends.
07AI for Productivity and WorkflowsBuild everyday workflows that genuinely save time.
  • 7.1Planning your day and week with AI
    Turn goals into a workable plan.
  • 7.2Turning meetings into notes and actions
    Capture decisions and next steps.
  • 7.3Managing your inbox with AI help
    Triage and respond more efficiently.
  • 7.4Creating checklists and SOPs
    Standardize recurring work.
  • 7.5Automating repetitive writing tasks
    Stop redoing the same drafts.
  • 7.6Prioritization frameworks with AI
    Decide what matters most.
  • 7.7Project planning and breakdowns
    Split projects into clear tasks.
  • 7.8Tracking tasks and follow-ups
    Keep commitments from slipping.
  • 7.9Preparing for meetings and reviews
    Walk in ready with AI prep.
  • 7.10Personal knowledge management
    Organize what you learn and reuse it.
  • 7.11Reducing context-switching
    Protect focus across tools.
  • 7.12Designing your personal AI workflow
    Combine habits into a system.
08Working with Documents and DataGet useful information out of documents, spreadsheets, and messy inputs.
  • 8.1Summarizing and querying documents
    Ask questions of long files.
  • 8.2Extracting tables and structured data
    Pull clean data from documents.
  • 8.3Cleaning and reformatting text
    Fix messy text into usable form.
  • 8.4Working with spreadsheets and AI
    Use AI to speed up spreadsheet work.
  • 8.5Reviewing documents safely
    Get help reviewing without leaking data.
  • 8.6Comparing document versions
    Spot what changed between drafts.
  • 8.7Generating templates and forms
    Create reusable document scaffolds.
  • 8.8Basic data analysis in plain language
    Explore data without writing code.
  • 8.9Creating visual summaries
    Turn data into simple charts and visuals.
  • 8.10Handling sensitive documents responsibly
    Apply privacy rules to real files.
  • 8.11PDFs, scans, and messy inputs
    Work with imperfect source material.
  • 8.12Quality-checking extracted data
    Validate before you trust the output.
09Building Simple AI Workflows and AssistantsCreate lightweight, reusable assistants and no-code automations.
  • 9.1What 'custom assistants' are
    Understand reusable, task-specific AI.
  • 9.2Creating a custom assistant
    Build your first tailored assistant.
  • 9.3Writing clear assistant instructions
    Define behavior that stays consistent.
  • 9.4Giving an assistant reference knowledge
    Ground it in your own material.
  • 9.5No-code automation basics
    Connect steps without programming.
  • 9.6Connecting AI to your tools
    Wire AI into apps you already use.
  • 9.7Designing a repeatable workflow
    Make a process you can run again.
  • 9.8Testing your assistant
    Check behavior before relying on it.
  • 9.9Sharing assistants with your team
    Roll out useful assistants safely.
  • 9.10Maintaining and updating assistants
    Keep them accurate over time.
  • 9.11Knowing when to keep a human in the loop
    Decide where oversight is required.
  • 9.12A small end-to-end project
    Build one complete workflow yourself.
10Responsible and Safe AI UseUse AI ethically and safely, in line with privacy and company policy.
  • 10.1Data privacy and confidentiality
    Protect personal and company data.
  • 10.2Understanding AI bias and fairness
    Recognize and reduce biased output.
  • 10.3Avoiding plagiarism and attribution issues
    Use AI output ethically.
  • 10.4Security basics for AI tools
    Reduce risk when using AI services.
  • 10.5Company AI policies and guidelines
    Work within organizational rules.
  • 10.6When not to use AI
    Recognize tasks AI shouldn't handle.
  • 10.7Disclosing AI use appropriately
    Be transparent where it matters.
  • 10.8Intellectual property considerations
    Understand ownership and rights.
  • 10.9Accessibility and inclusive use
    Make AI-assisted work usable for all.
  • 10.10The environmental footprint of AI
    Be aware of the cost of heavy use.
  • 10.11Staying current as AI evolves
    Keep your skills and judgment fresh.
  • 10.12Your responsible AI checklist
    A practical checklist for daily use.