Role-based pathways
Pick your role and get its entire pathway — every course, one price, for a year. Prefer to go course by course? Browse the full catalog below.
Build, ship, and run production AI systems end-to-end
Pipelines, retrieval, and detection over real data
Spec, prototype, and evaluate AI features with judgement
Deliver, govern, and measure AI programs across teams
Set AI strategy, govern risk, and realize value
Not ready for a whole role? Browse the catalog and take courses individually.
Understand what AI models are, how they learn, the major types (LLM, embedding, vision, multimodal, diffusion), and how to choose the right model and provider for any task.
Understand embeddings, distance metrics, ANN indexes, and the vector database landscape. Design end-to-end vector search pipelines with hybrid retrieval and evaluation.
Build the statistical foundation for AI: data quality, regression, classification, time series, neural networks, and when to use classical ML vs deep learning vs foundation models.
Learn how LLMs actually work, then master zero-shot, few-shot, chain-of-thought, and system prompts. Build a reusable prompt library.
Build a question-answering system over your own documents. Upload, chunk, embed, search, and generate cited answers — the complete RAG pipeline.
Use AI to make sharper calls — frame the decision, analyze real data, weigh options on a matrix, and pressure-test the call (and know when NOT to trust the AI). No code.
Automate real work with AI — the trigger→action shape, connectors & MCP, and when to use a workflow, an AI agent, or RPA. Build reliable automations that run on autopilot.
Use the Claude API and tool use to build a personal assistant that handles email, calendar, research, and tasks.
Set up, customize, and safely run OpenClaw — an open source AI agent that automates personal tasks on your computer.
Build a personal knowledge base over your notes, bookmarks, and documents. Search everything with AI and get answers with sources.
Build a RAG-powered tool that prepares sales reps for every call — pulling from CRM data, product docs, call transcripts, and competitor intelligence.
Build a complete fine-tuning pipeline — curate training data from your Sales Companion, format for APIs, run fine-tuning jobs, evaluate with automated metrics, and deploy with A/B testing.
Build an AI assistant that answers employee questions about policies, benefits, and procedures — sourced from real HR documents.
Build a tool that monitors competitors, analyzes trends, and drafts content — powered by real-time web data and brand guidelines.
Build AI agents that take action — CRM lookups, email drafts, calendar bookings, Slack posts. With LangGraph orchestration, MCP server, guardrails, and human-in-the-loop approval.
Build a tool that analyzes SEC filings, earnings transcripts, and market data to answer financial research questions.
Build a bank-grade AML system: monitor transactions, resolve beneficial-ownership entity graphs, screen names against sanctions/PEP watchlists, detect money-laundering typologies, and ship an agent that triages each alert and drafts a Suspicious Activity Report — behind a human approval gate, with a full audit trail. Recall-first: catch every planted ring, then cut false positives.
Build a carrier-grade AIOps system: ingest network topology, alarms, and KPI time-series; build a topology graph; correlate an alarm storm down to its root-cause element; predict outages from leading indicators; and ship an agent that assembles each incident, proposes a root cause and remediation, and drafts the RCA behind a human approval gate — never auto-remediating. Recall-first: capture every real incident, then cut alarm noise.
The forward-deployed engineer's core skill: turn a vague client ask into a scoped, working prototype — fast — without building the wrong thing. Frame an ambiguous problem, choose the right approach (RAG vs. agent vs. classic ML vs. workflow vs. no-AI) and the right model (quality vs. cost vs. latency, with routing), cut scope to the smallest convincing build, and demo a go/no-go. The front of the FDE journey; a prototype is a question, not a product.
The FDE's other half of the job: take an AI prototype that earned a 'go' and make it survive production — keep working, safely, cheaply, unattended, as the world changes. Learn the four shared pillars (evaluate, ship, run, govern), then productionize each system type — ML (drift & retraining), RAG (retrieval evals & grounding), and agents (approval gates & guardrails) — and scale and hand off to a delivery team. The back half of the FDE journey; brings together evaluation, CI/CD, monitoring, and guardrails.
The data analyst's build course: stand up a real analytics pipeline over Postgres — land raw, type and derive, gate quality, publish marts — then keep it honest with drift detection (PSI vs a saved baseline), freshness SLAs, and a recall-first monitor. Learn to use AI at the keyboard to draft transforms, tests, and drift explanations. The whole pipeline runs deterministically with no API key; your job is to notice when a number is lying.
Build a quantum annealing pipeline for combinatorial optimization — choose feature selection or graph partitioning, solve with simulated annealing, and optionally connect to D-Wave hardware.
Build a multi-agent system where specialized AI agents — researcher, writer, analyst, and coder — coordinate through a supervisor to handle complex tasks no single agent can solve.
Build a document processing pipeline that extracts text and tables from PDFs, classifies document types, pulls structured fields, validates data quality, and outputs clean structured data.
Build an AI agent that triages support tickets, classifies intent, retrieves answers from your knowledge base, and escalates to humans when confidence is low.
Build an AI code review agent that analyzes pull requests, detects bugs and anti-patterns, scores code quality, suggests improvements, and integrates with your CI/CD pipeline.
Build an anomaly detection system that monitors time-series metrics, detects unusual patterns using statistical and ML methods, triggers alerts, and provides AI-powered root cause analysis.
Build event-driven AI pipelines that automate real business workflows — from webhook triggers through AI processing to action execution, with retry logic and monitoring.
Build a hospital-grade clinical operations system: ingest FHIR and HL7 v2 feeds alongside free-text notes; de-identify protected health information to the HIPAA Safe Harbor standard; resolve one patient across three conflicting medical record numbers; detect drug interactions, care gaps and early deterioration; and ship an agent that assembles each case, drafts the clinical summary with citations, and writes nothing back to the chart without a clinician's approval. Recall-first: catch every planted safety signal, then cut alert fatigue.
Run your own SOC 2 readiness and walk into the audit prepared. Understand what SOC 2 really is, scope it, implement the common controls, collect evidence that holds across the window, close your gaps, and pass the audit — then keep it. For founders, security/compliance leads, and engineers at B2B software companies.
Spot and stop the attacks that actually hit companies — including the new AI-era ones. Phishing and social engineering, passwords and MFA, handling data safely, shadow AI and prompt injection, and how to report fast when something goes wrong. For every employee, technical or not. Annual + onboarding.
Cut through the alphabet soup. Learn which frameworks actually apply to you (HIPAA, PCI DSS, GDPR, SOC 2, ISO 27001, NIST/CMMC), the ~65% of controls they all share, how to satisfy many at once with one control set, and how to build a compliance roadmap. The hub course — take the deep-dive spoke for each framework you pick. For founders, managers, compliance leads, and engineers.
Go deep on HIPAA: what the law actually requires, what counts as protected health information (PHI) and who's in scope, the administrative/physical/technical safeguards, the risk analysis OCR looks for, breach notification, and how to run it as a continuous program. The healthcare deep-dive spoke — take it after the Compliance Frameworks hub. Educational, not legal advice.
Go deep on PCI DSS: what the card-brand standard actually requires, how to shrink your cardholder data environment (the biggest cost lever), the 12 requirements, how you validate (SAQ, ASV scans, ROC), running a gap assessment, and staying compliant continuously. The payments deep-dive spoke — take it after the Compliance Frameworks hub. Educational, not legal/QSA advice.
Go deep on GDPR: what the EU regulation requires, what counts as personal data and whether you're a controller or processor, lawful basis and data-subject rights, your core obligations (RoPA, DPIAs, DPAs, DPO), breach notification and accountability, and international transfers. The data-privacy deep-dive spoke — take it after the Compliance Frameworks hub. Educational, not legal advice.
Ship faster with fewer incidents. Learn why CI/CD wins, the anatomy of a pipeline, the testing gates that make it trustworthy, deployment strategies (blue-green, canary, rolling), securing the pipeline (DevSecOps), and observability with fast rollback. For engineers, DevOps, and SRE.
Go deep on ISO 27001 — the international certification European and cross-border buyers ask for. Understand the ISMS at its core, scope it, run the risk assessment and Statement of Applicability, apply the Annex A controls, build the evidence and internal-audit discipline, and navigate certification. The information-security-management deep-dive spoke — take it after the Compliance Frameworks hub. Educational, not legal advice.
Prevent security problems at the commit, not in prod. The scanner toolchain for shift-left DevSecOps: secrets (Gitleaks), infrastructure-as-code (Checkov), code / SAST (Semgrep), and vulnerabilities (Nuclei & dependency scanning) — plus the fidelity discipline (tuning, triage, gating) that makes the signal trustworthy. For engineers, DevOps, and security. The deep companion to CI/CD Best Practices.
Defend against agentic AI and external attackers with controls that are proportionate to the risk — not fear-driven over-lockdown that strangles the business. Match the control to the risk, shrink your attack surface (including AI), get identity right for humans and agents, govern (don't ban) AI agents, defend against AI-accelerated and autonomous attackers, and design for resilience with fast detection. For security leads, SREs, and technical leaders.
Threat-informed defense for practitioners: learn today's attacker tactics, techniques, and procedures — mapped to MITRE ATT&CK — and turn each one into a detection. Cover identity & cloud intrusions, AI-era tradecraft, endpoint living-off-the-land & EDR evasion, lateral movement & C2, and ransomware/extortion. Build a reusable TTP detection playbook. For SOC analysts, threat hunters, and detection engineers. Defensive throughout.
Understand ethical hacking, red teaming, blue teaming, and purple teaming — and how to make them pay off for your organization. What security testing is (and why authorization is everything), what the hacker tool categories reveal, how red teams emulate real adversaries to test your detection and response, what blue teams do, why purple teaming compounds the value, and how to commission, govern, and act on it all. Build a Red/Blue/Purple program plan. For security and business leaders. Defensive and conceptual throughout.
Run a modern security program that leverages AI to do more with less — without the hype. For CISOs, security managers, and IT directors: the business of security (strategy, board, budget, team) reframed for the AI era, with the emphasis on how to actually use AI to run security better — the AI-augmented SOC, agentic SecOps with guardrails, and AI across detection, triage, threat intel, IR, and compliance — plus governing AI so you can leverage it safely, and the metrics that prove it works. Build an AI-era security program strategy. Defensive and vendor-neutral; honest about where AI helps and where it doesn't.
Govern and secure the AI your organization uses and builds. For governance, risk, and compliance leads: why AI needs its own governance, the frameworks and regulations you now own (NIST AI RMF, ISO/IEC 42001, EU AI Act), how to build the program (AI inventory, risk classification, policies, roles), the AI security risks you must govern (OWASP LLM, agents/RAG/MCP, the AI supply chain) and the controls and assurance to require, and how to run it (monitoring, incident response, audit). Build a complete AI governance & security (AI TRiSM) program. Defensive and vendor-neutral; educational, not legal advice.
Use AI for predictive maintenance, sensor data analysis, quality control, and simulation optimization. Built for mechanical, civil, electrical, and manufacturing engineering students and professionals.
Use AI for predictive maintenance, sensor data analysis, quality control, and simulation optimization. Built for mechanical, civil, electrical, and manufacturing engineering students and professionals in the US, UK, EU, and Australia.
Deep specialization in AI for flight path optimization, satellite remote sensing, aircraft predictive maintenance, aerodynamic simulation, autonomous navigation & swarms, and space mission planning. Built for aerospace engineers and drone professionals.
Deep specialization in AI for flight path optimization, satellite remote sensing, aircraft predictive maintenance, aerodynamic simulation, autonomous navigation & swarms, and space mission planning. Built for aerospace engineers and drone professionals in the US, UK, EU, and Australia.
Deep specialization in AI for geological exploration, mine planning, safety monitoring, mineral processing, rare earth element separation, and mine closure sustainability. Built for mining engineers and geologists.
Deep specialization in AI for geological exploration, mine planning, safety monitoring, mineral processing, rare earth element separation, and mine closure sustainability. Built for mining engineers and geologists in the US, UK, EU, Australia, and Canada.
Deep specialization in AI for alloy design, steelmaking process control, heat treatment optimization, casting & foundry, corrosion & failure analysis, and quality control with NDT. Built for metallurgical engineers and materials scientists.
Deep specialization in AI for alloy design, steelmaking process control, heat treatment optimization, casting & foundry, corrosion & failure analysis, and quality control with NDT. Built for metallurgical engineers and materials scientists in the US, UK, EU, and Australia.
Deep specialization in AI for reservoir engineering, refinery process optimization, pipeline integrity, power plant performance, energy trading & demand forecasting, and energy transition sustainability. Built for petroleum, process, and power engineers.
Deep specialization in AI for reservoir engineering, refinery process optimization, pipeline integrity, power plant performance, energy trading & demand forecasting, and energy transition sustainability. Built for petroleum, process, and power engineers in the US, UK, EU, and Australia.
Deep specialization in AI for structural health monitoring, construction scheduling & cost estimation, geotechnical engineering, transportation & traffic, smart cities & building management, and infrastructure asset sustainability. Built for civil engineers and construction professionals.
Deep specialization in AI for structural health monitoring, construction scheduling & cost estimation, geotechnical engineering, transportation & traffic, smart cities & building management, and infrastructure asset sustainability. Built for civil engineers and construction professionals in the US, UK, EU, and Australia.
Deep specialization in AI for vehicle design & simulation, autonomous driving & ADAS, EV battery & powertrain, manufacturing quality, supply chain & logistics, and connected vehicles & fleet management. Built for automotive and EV engineers.
Deep specialization in AI for vehicle design & simulation, autonomous driving & ADAS, EV battery & powertrain, manufacturing quality, supply chain & logistics, and connected vehicles & fleet management. Built for automotive and EV engineers in the US, UK, EU, and Australia.
Deep specialization in AI for fibre & yarn quality prediction, fabric defect detection, dyeing & colour matching, apparel design & trend forecasting, supply chain & sourcing, and sustainability & compliance. Built for textile engineers and apparel professionals.
Deep specialization in AI for crop yield & quality prediction, food safety & quality control, supply chain & cold chain, processing & manufacturing optimization, grading & sorting, and regulatory & sustainability compliance. Built for food technologists and agri professionals.
Deep specialization in AI for crop yield & quality prediction, food safety & quality control, supply chain & cold chain, processing & manufacturing optimization, grading & sorting, and regulatory & sustainability compliance. Built for food technologists and agri professionals in the US, UK, EU, and Australia.
The flagship leadership course: turn AI ambition into measured, risk-adjusted value. Learn the Value Realization Framework (VRF) the way operators use it — fingerprint AI maturity, run AI as a P&L that nets the downside (the drag most business cases ignore), and make defensible fund/kill/sequence/de-risk calls. Taught through three running cases — a sales copilot, an AI marketing engine, and an AI finance tool — where the project that looks best on paper turns out worst once you price its drag. For leaders, function heads, PMs, and transformation & AI leads. You leave with a shareable AI Value Brief you can run on your own portfolio.
Use AI to plan lessons, generate assessments, create personalized learning paths, and analyze student performance. Built for teachers, tutors, and coaching center instructors.
Use AI to plan lessons, generate assessments, create personalized learning paths, and analyze student performance. Built for teachers in the US, UK, EU, and Australia.
Understand AI applications in clinical decision support, medical documentation, drug interaction analysis, and population health analytics. Built for healthcare students and professionals.
Understand AI applications in clinical decision support, medical documentation, drug interaction analysis, and population health analytics. Built for healthcare professionals in the US, UK, EU, and Australia.
Use AI to automate GST compliance, analyze financial statements, detect anomalies in ledgers, and forecast inventory and cash flow. Built for B.Com students, CA aspirants, and practicing accountants.
Use AI to automate tax compliance, analyze financial statements, detect anomalies in ledgers, and forecast inventory and cash flow. Built for accounting professionals in the US, UK, EU, and Australia.
Use AI to analyze contracts, research case law, check regulatory compliance, and draft legal documents. Built for law students, advocates, company secretaries, and compliance officers.
Use AI for contract analysis, case law research, compliance checking, and legal drafting. Built for law students, paralegals, and attorneys in the US, UK, EU, and Australia.
Use AI to forecast demand, optimize pricing, segment customers, and analyze reviews. Built for retail management students, e-commerce entrepreneurs, and D2C brand owners.
Use AI to forecast demand, optimize pricing, segment customers, and analyze reviews. Built for retail professionals in the US, UK, EU, and Australia.
Use AI to optimize campaigns, generate content with brand voice, analyze sentiment, design A/B tests, and build personalization flows. Built for marketing students, digital marketers, and brand managers.
Use AI to optimize campaigns, generate content with brand voice, analyze sentiment, design A/B tests, and build personalization flows. Built for marketing students, digital marketers, and brand managers in the US, UK, EU, and Australia.
Use AI for content writing, visual design assistance, video scripting, portfolio curation, and creative workflow optimization. Built for writers, designers, video producers, and freelancers.
Use AI for content writing, visual design assistance, video scripting, portfolio curation, and creative workflow optimization. Built for writers, designers, video producers, and freelancers in the US, UK, EU, and Australia.
The product manager's lens on AI: write a feature spec an engineer can build from, then define and read the eval that says whether it's good enough to ship. Runs a real, deterministic eval over a support-triage assistant — and teaches the skill that matters most: a single accuracy number will lie to you. Learn to find the false pass the headline metric hides.
The program manager's lens on AI: run a rollout across teams and prove it worked — stage gates wired to real signals, a RAID log, and a program scorecard. Runs a real, deterministic scorecard over a three-team rollout, and teaches the discipline that separates a program review from a victory lap: adoption is not success. Read the lagging signals adoption hides.