▊ intheloop
free ai certified courses
Curated learning paths on how AI is changing every profession. Complete a course, share your opinion, and earn a certificate you can post on LinkedIn.
- 101
AI for Knowledge Workers
If you spend your day in Word, Excel, email, and Slack, AI can give you back hours per week. This course is your practical onramp: Microsoft Copilot, ChatGPT, Claude, daily workflows, and the productivity patterns that compound over time.
12 steps
1 certified
- production10+ karma
Building with Agents
Build agents that actually work in production. This course goes from picking a framework (LangChain vs LangGraph vs CrewAI) to shipping a stateful, observable, multi-step agent. Code-along tutorials, framework comparisons, and Anthropic's principles for effective agents.
12 steps
1 certified
- 101
AI Agents 101
An agent is more than a chatbot. It's a loop: think, act, observe, repeat. This course shows you what agents are, how they work, and how to build your first one. From mental model to working Python code in 10 steps.
13 steps
1 certified
- 101
Human-in-the-Loop Design
Human-in-the-loop sounds simple: AI proposes, humans approve. In practice, it's a design discipline. This course covers the foundations: what HITL is, why it matters, when to use it, and the patterns that actually keep humans meaningful in AI systems.
12 steps
1 certified
- 101
Prompt Engineering
A prompt is just an instruction, but most prompts fail. Why? Lack of context, vague goals, no examples, no structure. This course teaches you to write prompts that consistently work, from chain-of-thought to few-shot, across Claude, GPT, and Gemini.
12 steps
1 certified
- 101
The Future of Work with AI
Will AI take your job? Wrong question. The right question: which parts of your job will AI change, which parts stay human, and what skills become more valuable as routine work gets automated. Evidence-based answers from McKinsey, WEF, and the labor market.
11 steps
1 certified
- production3+ karma
LLMs in Production
A working LLM demo is not a production system. Latency spikes, cost explodes, quality drifts, edge cases break things. This course teaches you to ship LLMs to real users: monitoring, evals, RAG, cost control, observability. The 2026 production stack.
12 steps
1 certified
- practical
AI for Accountants and Finance Teams
Month-end close in hours instead of days. Automated reconciliation. AP/AR without backlogs. AI in finance is not algorithmic trading: it is freeing your team from mechanical work so they can focus on professional judgment. Real workflows for finance teams and accountants.
11 steps
1 certified
- practical
AI for Social Research
LLMs can code qualitative data in hours that used to take weeks. They can run interviews at scale. They can extract themes from thousands of responses. This course teaches you to use AI in social science research without losing methodological rigor or research ethics.
12 steps
1 certified
- practical
AI for Legal Professionals
AI saves lawyers hours on the work nobody wants to do: document review, e-discovery, contract drafting, legal research. But the ethics rules haven't changed. This course teaches you to use AI safely, from legal research to client confidentiality to ABA Opinion 512.
13 steps
1 certified
- practical
AI for Marketers
AI doesn't replace marketers. It makes the boring parts faster so marketers can do the work that actually moves the needle. Content production, personalization, campaign optimization, analytics. This course covers the 2026 marketing AI stack with real examples.
12 steps
1 certified
- practical
AI for HR and People Teams
AI in HR is not just resume screening. It's onboarding that adapts to each employee. Performance signals that catch turnover risk. Workforce planning grounded in data. This course shows you what works, what to avoid, and where bias and discrimination law come in.
12 steps
1 certified
- practical
AI for Educators
AI can save teachers 3 to 5 hours per week on admin work and unlock personalization that was impossible before. This course covers what works in the classroom: ChatGPT for Teachers, lesson planning, personalized feedback, AI-assisted grading, and the ethics that go with it.
12 steps
1 certified
- advanced3+ karma
Advanced HITL Patterns
Most HITL implementations fail in production. Approvers rubber-stamp decisions, alert fatigue sets in, and oversight becomes theater. This course teaches the patterns that work at scale: filtered approval gates, sampling strategies, escalation paths, and feedback loops that compound over time.
12 steps
1 certified
- production3+ karma
Scaling Human-Centered AI
Most AI systems scale by removing humans from the loop. This course teaches the opposite: how to build AI systems that keep humans meaningful as the system grows. Augmentation patterns, distributed decision-making, and the economic logic of human-AI collaboration at scale.
12 steps
1 certified
- advanced
Building AI Products Responsibly
Responsible AI is not a compliance checkbox. It's a set of design decisions baked into your product from day one. This course teaches concrete patterns: impact assessment, transparency that builds trust, bias detection that works, and the engineering practices that make all of it sustainable.
12 steps
1 certified
- advanced3+ karma
AI Governance and Compliance
The EU AI Act, NIST AI RMF, ISO 42001, GDPR. Four frameworks, three continents, one product. This course shows how to satisfy all of them without duplicating work. Practical compliance for teams that ship AI products, not lawyers writing memos.
12 steps
1 certified
- production
Vibecoding
Andrej Karpathy coined the term. You stop typing every character and start directing the model toward an outcome. This course teaches the discipline: choose the right tool, brief with context, write prompts that work, review every line, debug as a pair, know when to skip AI, and recognize the failure modes that show up in production.
2 steps
0 certified
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