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No code required · Self-paced

Master AI for work

Get real benefits from LLMs on valuable tasks, taught by experts who build AI for a living. Prompting, research, analysis, agents, and role-specific modules, all without writing code.

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Louis-François Bouchard Taught by Louis-François Bouchard and the Towards AI teamCo-founder & CTO, Towards AI · 500,000+ AI practitioners taught
98lessons across core and role modules
10role-specific tracks, sales to leadership
0lines of code required
01The AI-first mindset

Drive AI adoption in your team, company, and industry

AI is no longer a nice-to-have; it's a boardroom mandate. This course makes you the person who knows what to do about it.

Beyond basic prompting

Use AI tools for real work

Work with ChatGPT, Gemini, Claude, and Perplexity to automate your tasks, and master prompting, context building, and reasoning techniques that produce high-quality output every time.

No technical know-how needed

Kickstart custom AI projects

Master no-code tools like NotebookLM, Deep Research, CustomGPTs, agents, and Artifacts to automate repetitive work, personalise customer experiences, and lift your team's productivity.

Learn from what worked

Case studies that saved millions

Actionable insights from real AI implementations, including how companies like Klarna cut costs at scale, plus the strategy, implementation, and governance lens to replicate it in your context.

01Our AI-first alumni combine their own expertise with AI to deliver higher quality and quantity of work relative to colleagues.
02They find where AI tools add the most value in everyday workflows, and get promoted faster by delivering results quicker.
02Every professional role

Who is this course for?

Anyone ready to become an AI power user at work, with dedicated role modules so the examples match your job.

01Any professional ready to kickstart AI at work. Role modules cover sales, marketing, investment research and banking, HR and recruitment, product management, software development, customer service, consulting, and leadership.
02Managers, team leaders, and executives guiding smart adoption, with a dedicated module on leading AI-first initiatives internally.
03Consultants and strategists advising clients in the AI era.
04Entrepreneurs and business owners wanting to scale with fewer roadblocks.
03The live syllabus

Course curriculum

A hands-on core plus optional role-specific modules, 98 lessons in all. The first lessons are free to preview.

00Introduction3 lessons
  1. 1IntroductionFree preview
  2. 2Course Admin and SyllabusFree preview
  3. 3Top Tips Cheat SheetFree preview
01Getting started with generative AI9 lessons
  1. 1Introduction to Module 1Free preview
  2. 2Prompting 101Free preview
  3. 3A Brief Introduction to AI and LLMsFree preview
  4. 4Alien Intelligence Leads to Unintuitive Mistakes
  5. 5Introduction to ChatGPT, Claude and Gemini
  6. 6Security and Privacy Risks When Using LLMs in Business
  7. 7Providing "Context" to LLMs for Better Results, plus RAG Chatbots
  8. 8Claude Cowork Part 1: Your AI Teammate That Actually Does the Work
  9. 9Claude Cowork Part 2: Claude in Chrome, Excel and PPT + 10 Hands-on Use Cases
02Core LLM use cases with hands-on examples23 lessons
  1. 1AI as a personal tutor, research assistant, and writing partner
  2. 2NotebookLM, Perplexity, and deep research workflows
  3. 3Summarisation, parsing, and data extraction
  4. 4Multimodal AI: images, graphics, and infographics with Artifacts
  5. 5Choosing your LLM: benchmarks, leaderboards, and reasoning models
  6. 6Data analysis and visualisation without code
  7. 7AI agents and deep research across OpenAI, Gemini, and Perplexity
  8. 8Case study: organising a major conference end to end
  9. 9Robust prompts, Custom GPTs, evaluation, and fact verification
03More models, agents, and tools7 lessons
  1. 1An overview of leading LLMs: model families, classes, and comparison sheet
  2. 2No-code platforms for building custom AI agents
  3. 3Hands-on agent examples: Integrail, CrewAI, and Copilot Studio
  4. 4Staying ahead of AI developments
04Role-specific modules (optional)10 tracks
  1. 1Sales: email sequences, B2B cycles, and case studies
  2. 2Marketing: product launches, customer engagement, campaign case studies
  3. 3Investment research and finance: theses, rapid response, trading use cases
  4. 4HR and recruitment: wellness programs and case studies
  5. 5Product management and innovation: the full lifecycle with AI
  6. 6Software and "vibe coding": Copilot, Cursor, and coding methods
  7. 7Accounting and finance: QBR preparation and reporting
  8. 8Customer service and support: multi-step resolution workflows
  9. 9Professional consulting: multi-step client workflows
  10. 10Management and leadership: team efficiency and adoption
05AI strategy for leaders11 lessons
  1. 1The generative AI landscape and enterprise adoption
  2. 2Build vs buy: custom and off-the-shelf solutions
  3. 3Defining your own AI tool by industry, niche, function, and users
  4. 4Customising LLMs: prompting, RAG, tools, and fine-tuning
  5. 5Ethical and responsible AI use
  6. 6Managing custom LLM development, surveys, and customer case studies

Updated weekly with new lessons as the field evolves.

04Practical from day one

What you'll learn, and actually use

01

The right tool, every time

ChatGPT, Claude, Gemini, NotebookLM, and Perplexity: know which to use, when, and why.

02

Four assistants in one

Use AI as your personal tutor, research assistant, brainstorming partner, and design intern.

03

Consistently great outputs

Master prompting, context, and reasoning so quality stops depending on luck.

04

Analysis without code

Analyse data and build visuals directly in AI tools, no spreadsheet formulas required.

05

Workflows and agents

Create AI workflows and agents that save time and scale your results.

06

Smart adoption decisions

Make sound calls on tools, privacy, governance, and team adoption.

05Questions

Frequently asked questions

Do I need any technical background?
No. The course is designed for non-technical professionals and focuses on practical, no-code applications you can implement immediately.
How long does it take to complete?
Self-paced; the average completion time for the core course is around 20 hours, with optional role-specific modules on top.
Will I get a certificate upon completion?
Yes, you will receive a Towards AI certificate upon completion.
What real-world skills will I gain?
How to implement AI tools like ChatGPT in your daily work, customise AI solutions for your company, and lead AI-driven projects that improve efficiency and results.
Can I get a discount?
Yes: students get 50% off, previous book or course buyers are eligible for a discount, and groups of two or more get bundle pricing. Contact us to claim.
Can I take this course within my company?
Yes. We offer course bundles and custom training tailored for companies, including live formats. See enterprise enablement or get in touch.
Lifetime access · $399

Become the AI power user on your team

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