Course catalog
5 tracks · 86 modules · 544 lessons · 18 languages · 9 portfolio projects. 14 days free (card required), then $14.99/mo — all courses unlock.
Get full access · $49AI from scratch
From absolute scratch: understand AI and start using it - without technology or terms
6 modules · 51 lessons
AI from scratch · Introduction to AIin the trial10
AI from scratch · AI in everyday lifein the trial10
AI from scratch · How to get good resultsin the trial10
AI from scratch · First 7 promptsin the trial7
AI from scratch · AI as your tutorin the trial7
AI from scratch · More confident with AI: the next stepin the trial7
Operator
AI without code
29 modules · 148 lessons · 3 projects
Module 1 · How to talk to AIin the trial9
Module 2 · AI at work (Pro)Pro5
Module 3 · Accurate Data Formats (Pro)Pro4
Module 4 · AI for texts and content (Pro)Pro4
Module 5 · AI for Data and Analysis (Pro)Pro4
Module 6 · AI for pictures (Pro)Pro4
Module 7 · Advanced prompting (Pro)Pro4
Module 8 · AI Literacy and Security (Pro)Pro4
Module 9 · Thinking and Research with AI (Pro)Pro4
Module 10 · AI Voice and Audio (Pro)Pro4
Module 11 · AI for code without a programmer (Pro)Pro5
Module 12 · How AI Works (Pro)Pro6
Module 13 · AI models: which one to choose (Pro)Pro5
Module 14 · AI ethics, risks and responsibility (Pro)Pro5
Module 15 · Multimodal AI (Pro)Pro5
Module 16 · Prompt Security (Pro)Pro5
Module 17 · AI in professions (Pro)Pro6
Module 18 · Future of AI (Pro)Pro5
Module 19 · AI in practice: working cases (Pro)Pro5
Module 20 · Your own AI assistant without code (Pro)Pro6
Module 21 · AI for team and business (Pro)Pro5
Module 22 · AI for learning and self-development (Pro)Pro5
Module 23 · AI in Everyday Life (Pro)Pro5
Module 24 · AI for Negotiations and Difficult Conversations (Pro)Pro5
Module 25 · AI and Human Judgment (Pro)Pro4
Module 26 · AI mastery: non-obvious tricks of the pros (Pro)Pro7
Module 27 · AI against your routine: 7 working scenarios (Pro)Pro7
Module 28 · AI editor: make any text shine (Pro)Pro7
Module 29 · Expert-level prompt engineering (Pro)Pro7
- Decomposition of a task into sub-requests in one prompt🔒
- Self-consistency: multiple solutions and choice of answer🔒
- Few-shot with counterexamples: the fine line of classification🔒
- Rubric-driven output: the model evaluates its own response🔒
- Self-criticism and rewriting in one pass: draft, criticism, final🔒
- Rigorous output scheme for machine docking🔒
- Confidence Control: Separate Facts from Conjectures🔒
Builder
AI with code: bots, agents, API
21 modules · 107 lessons · 3 projects
Module 1 · First botPro5
Module 2 · Agents and RAG (Pro)Pro4
Module 3 · Automation without code (Pro)Pro4
Module 4 · Advanced Agents (Pro)Pro5
Module 5 · RAG in Depth (Pro)Pro6
Module 6 · AI Application Production (Pro)Pro5
Module 7 · Evaluating AI Quality (Pro)Pro5
Module 8 · Fine-tuning and your data (Pro)Pro5
Module 9 · AI integration via API (Pro)Pro5
Module 10 · AI Application Security (Pro)Pro5
Module 11 · AI product: from idea to MVP (Pro)Pro5
Module 12 · Multi-agent systems (Pro)Pro5
Module 13 · Memory and Context in AI Applications (Pro)Pro5
Module 14 · Voice and Multimodal Applications (Pro)Pro5
Module 15 · AI + fresh data and search (Pro)Pro5
Module 16 · AI for Data Science (Pro)Pro5
Module 17 · Local and open models (Pro)Pro5
Module 18 · Deployment and launch of an AI application (Pro)Pro5
Module 19 · DIY AI agents (Pro)Pro7
Module 20 · AI pipelines: chains of prompts (Pro)Pro7
- Step 1: Extract to strict JSON🔒
- Normalization of dirty input into a single circuit🔒
- Validator: check the output of the previous step🔒
- JSON → JSON transformation: filter and enrichment🔒
- Reducer: reduce the list to one total🔒
- Classification with fixed enum for branching🔒
- Final formatter: data → finished text🔒
Module 21 · Production-AI: reliability, ratings and protection (Pro)Pro7
- LLM judge: prompt evaluator with justification🔒
- Strict output contract: scheme and rule for garbage input🔒
- Guardrail: classifier of secure and offtopic queries🔒
- Graceful fallback: an honest answer when there is a lack of data🔒
- Hallucination detection: checking the answer with the context🔒
- Red-timing: resistance to data injection🔒
- Idempotent output: same result when repeated🔒
Career
Monetization of AI skills
13 modules · 68 lessons · 3 projects
Module 1 · AI in careerPro5
Module 2 · AI for Career (Pro)Pro4
Module 3 · Growth and Positioning (Pro)Pro5
Module 4 · AI freelance: first orders (Pro)Pro5
Module 5 · AI interview and offer (Pro)Pro5
Module 6 · AI portfolio: prove your skill with action (Pro)Pro6
Module 7 · Switching to an AI Career (Pro)Pro5
Module 8 · Become the Go-To AI Person at Work (Pro)Pro5
Module 9 · AI entrepreneurship: your own product (Pro)Pro5
Module 10 · Global AI market and remote work (Pro)Pro5
Module 11 · Weekend AI Portfolio (Pro)Pro7
Module 12 · Personal branding and networking with AI (Pro)Pro7
Module 13 · AI Expert: Authority and High Value (Pro)Pro7
AI-Studio
Pictures, videos, voice, design, avatars - new AI capabilities
17 modules · 170 lessons
Module 1 · AI image generationPro10
Module 2 · AI video generationPro10
Module 3 · AI voice, music and audioPro10
Module 4 · AI design and brandingPro10
Module 5 · AI avatars and charactersPro10
- Designing a Recognizable Character
- Character Sheet🔒
- Brand Mascot and Avatar🔒
- Emotions and Poses Without Losing Identity🔒
- Character in Different Scenes🔒
- Changing Looks Without Losing Identity🔒
- Portrait for a Talking Avatar🔒
- Multiple Characters in One Scene🔒
- Avatar and Sticker Pack🔒
- Capstone: Consistent Series🔒
New AI · AI agentsPro10
New AI · "Thinking" modelsPro10
- What is a 'Thinking' Model
- When to Use a Thinking Model vs. a Regular One🔒
- How to Set a Deep Reasoning Task🔒
- How to Ask for a Chain of Thought🔒
- How to Verify Response Logic🔒
- Break Down a Complex Solution🔒
- Plan a Project with Reasoning🔒
- Find the Flaw in the Reasoning🔒
- Weigh Options and Make a Choice🔒
- Full Cycle: From Task to Verification🔒
New AI · Voice AIPro10
- Voice AI: what it can do right now
- How to talk to an assistant so that he understands🔒
- Dictation instead of typing🔒
- Voice note - to structure🔒
- Decoding the meeting into text🔒
- Minutes of the meeting from transcript🔒
- Speech synthesis: setting the tone and delivery🔒
- Voice Privacy: Consent and Data🔒
- Voice in action: language, letters, notes🔒
- Capstone: from audio meeting to minutes🔒
New AI · AI that seesPro10
- What does “AI sees” mean?
- Analysis of the error screenshot🔒
- Extract data from photo of receipt🔒
- Photo of the table into ready-made data🔒
- Business card in phone contact🔒
- Explain the graph in your own words🔒
- Disassemble the circuit and connections🔒
- Photo help: what it is and what to do🔒
- Document photo analysis🔒
- AI Vision Limits and Verification🔒
New AI · Video and animationPro10
New AI · Automation without codePro10
- What is Automation: Routine on Autopilot
- Identifying Automation Candidates🔒
- Scenario Anatomy: Trigger, Steps, Action🔒
- AI Step: Parse, Classify, Summarize, Respond🔒
- Scenario: Incoming Email Triage🔒
- Scenario: Sorting and Routing Applications🔒
- Scenario: Automated Content Creation🔒
- Scenario: Automated Reports and Reminders🔒
- Step-by-Step Description and Testing Without Breaking🔒
- Automation Limits: What Not to Automate🔒
New AI · Code without a programmerPro10
- Programming with Words: Your First Order
- Order Skeleton: Getting What You Need🔒
- Open the Black Box: Explain the Code🔒
- Red Text is a Hint🔒
- Iterative Improvement, Not All at Once🔒
- First Project: Block-Based Landing Page🔒
- Mini-App: Your Custom Calculator🔒
- Reminder Bot: When, Do, Tell🔒
- Auto-Table: Rule-Based Calculations🔒
- Security and Pre-Launch Checks🔒
New AI · AI researcherPro10
- Simple Question vs. Deep Research
- How to Formulate a Research Question🔒
- Research Scope: Time, Place, Depth🔒
- Compare Options: Pros and Cons🔒
- Sources: Demand and Verify🔒
- Structured Report Generation🔒
- How to Avoid AI Hallucinations🔒
- Scenario: Product or Service Selection🔒
- Scenario: Competitor and Topic Analysis🔒
- Capstone: Full Research Brief🔒
New AI · Data and tablesPro10
New AI · Web agentsPro10
- Web Agent: an assistant who surfs the Internet
- Anatomy of an Assignment: The Five Parts of a Good Assignment🔒
- Come, find, compare: order instead of request🔒
- Selection criteria: price, reviews, conditions and priorities🔒
- Result in a table: how to set the output format🔒
- Where the agent is wrong and how to double-check him🔒
- Security: where for the agent to stop🔒
- Real case: select products and collect prices🔒
- Find contacts and track changes🔒
- Multi-step order: forms and final collection🔒
New AI · Personal assistantPro10
- Your Personal AI Assistant: First Chat
- Self-Context: Your AI Assistant's ID🔒
- Your Morning Daily Plan🔒
- Organize Your Brainstorm🔒
- Findable Notes🔒
- Decision: Pros, Cons, Next Steps🔒
- Sticky Reminders and Routines🔒
- Prepare for an Important Conversation🔒
- Privacy: What Not to Share with Your Assistant🔒
- Second Brain: Weekly Review and System🔒