Project-based courses to your first AI role.
Self-study courses built around what employers actually want: shipped projects. In-depth notes, interactive quizzes, instructor videos, and a portfolio you can show.
Browse the coursesFind a lesson
Search across all 283 lessons in every course.
How it works
Each course is a sequence of short lessons grouped into modules. Every lesson has a video, in-depth notes, and an interactive quiz. 283 lessons across 11 courses.
1. Learn
Watch the lesson video and read the in-depth notes.
2. Check
Take the interactive quiz — instant feedback, no answer key.
3. Build
Do the exercises and the module deliverable. Push to GitHub.
4. Ship
Deploy, document, and present your work to land the role.
Courses
Pick the path that matches where you're starting from.
Cloud Engineer → Applied GenAI Engineer
A deliverable-driven roadmap: direct API fluency, retrieval-augmented generation, agents & orchestration, and production engineering — leaning into your security edge.
- 01LLM Foundations & API Fluency
- 02Retrieval-Augmented Generation (RAG)
- 03Agents & Orchestration
- 04Production Engineering
- 05Python for Production Apps
- 06Capstone & Career
Helpdesk: No Experience → Tier 2
A hands-on, 60-lesson path built around CompTIA A+, Network+, Microsoft MD-102 and MS-102: PC hardware, networking, Windows support, the helpdesk craft (ITIL & ticketing), modern endpoint management, and AI tools for resolving real endpoint problems.
- 01PC Hardware & How Computers Work (A+ Core 1)
- 02Networking Foundations (Network+)
- 03Windows, OS Support & Security (A+ Core 2)
- 04The Helpdesk Professional: ITIL, Ticketing & Soft Skills
- 05Modern Endpoint Management with AI (MD-102)
- 06Microsoft 365 Administration (MS-102)
Helpdesk Tier 3: Advanced Endpoint Engineering
An advanced follow-on for working technicians: deep root-cause analysis, PowerShell & Microsoft Graph automation at scale, advanced endpoint security & identity, and AIOps with agentic automation for modern endpoint operations.
- 01Advanced Troubleshooting & Root Cause Analysis
- 02Automation: PowerShell & Microsoft Graph at Scale
- 03Advanced Endpoint Security & Identity
- 04AIOps, Monitoring & Agentic Automation
Data Scientist Career Accelerator: From Python to Production Insights
A project-based course that takes you from programming and statistics fundamentals to building, evaluating, and communicating machine learning models. You'll work with real datasets to build a portfolio of analyses, dashboards, and end-to-end ML projects that prove you're ready for a data scientist role.
- 01Python and Data Wrangling Foundations
- 02Statistics and SQL for Analysis
- 03Machine Learning in Practice
- 04Experimentation, Visualization, and Capstone
- 05Generative AI and LLM Foundations for Data Scientists
- 06Productionization and MLOps
AI Application Developer: Build and Ship LLM-Powered Apps
A hands-on, project-based course that takes you from Python foundations to deploying production-ready AI applications using LLMs, RAG pipelines, autonomous agents, and vector databases. You'll build a portfolio of real apps culminating in a deployed capstone project.
- 01Python and LLM Foundations
- 02Building RAG Applications with Vector Databases
- 03Agents, Tools, and APIs
- 04Deployment and Capstone Project
AI Product Management: From Fundamentals to Shipping AI Products
A hands-on, project-based course that prepares you to lead AI and LLM-powered products end to end. You'll build AI literacy, master LLM capabilities and limits, craft product strategy and roadmaps, design evaluation frameworks and prompts, manage cross-functional stakeholders, and define metrics that prove impact. By the end, you'll have a portfolio-ready AI product spec, roadmap, eval suite, and launch plan.
- 01AI Literacy and LLM Foundations for PMs
- 02AI Product Strategy and Roadmapping
- 03Building, Evaluating, and Prompting AI Features
- 04Stakeholders, Metrics, and Launch Capstone
Machine Learning Engineer Bootcamp: From Fundamentals to Production
A project-based course that builds the practical skills needed to land a Machine Learning Engineer role, covering Python, math foundations, ML algorithms, PyTorch, feature engineering, model training and evaluation, and production-ready data pipelines. Learners build a portfolio of hands-on projects culminating in an end-to-end ML system.
- 01Foundations: Python and Math for ML
- 02Core Machine Learning Algorithms
- 03Deep Learning with PyTorch
- 04Production ML: Pipelines, Evaluation, and Capstone
- 05LLM Engineering: Transformers, RAG, and Fine-Tuning
- 06Cloud Deployment, Scaling, and Monitoring
Agentic AI Engineer: Building Production-Ready LLM Agents
A hands-on, project-based course that takes you from Python-driven LLM API calls to deploying sophisticated multi-agent systems with planning, memory, RAG, and orchestration using LangGraph. You'll build a portfolio of working agents culminating in a deployed capstone application.
- 01LLM Foundations and Tool-Using Agents
- 02Reasoning, Memory, and Retrieval
- 03Multi-Agent Orchestration with LangGraph
- 04Evaluation, Deployment, and Capstone
MLOps Engineering: From Models to Production
A hands-on, project-based course that takes you from containerizing ML workloads to building fully automated, monitored, and cloud-deployed machine learning pipelines. You'll master Docker, Kubernetes, CI/CD, MLflow, infrastructure as code, and production monitoring while building a portfolio of deployable systems.
- 01Containerization & Foundations for ML Workloads
- 02Experiment Tracking, Pipelines & Model Deployment
- 03Orchestration, CI/CD & Infrastructure as Code
- 04Cloud Deployment, Monitoring & Capstone
Junior Digital Marketing & Social Media Assistant Bootcamp
A hands-on, project-based course that builds the practical skills needed to launch a career as a digital marketing and social media assistant. Learners will run real ad campaigns, create engaging content, analyze performance data, and assemble a job-ready portfolio across paid ads, SEO, social media, and email marketing.
- 01Digital Marketing Foundations & Content Creation
- 02Paid Advertising with Meta & Google Ads
- 03SEO, Analytics & Performance Measurement
- 04Email Marketing & Capstone Portfolio
Cloud Security Engineer & M365 Security Architect: Zero Trust to SOC Automation
A project-based course that bridges the gap between intermediate M365 administration (MD-102/MS-102) and senior security architecture (SC-500). You'll design Zero Trust identity perimeters with Entra ID, unify endpoint security with Intune and Defender for Endpoint, govern data and AI with Microsoft Purview, run a cloud SIEM/SOAR with Microsoft Sentinel and KQL, and automate it all with PowerShell, the Microsoft Graph API, and Logic Apps. You finish by building the three portfolio-grade projects hiring managers look for.
- 01Zero Trust Identity & Entra ID Governance
- 02Modern Endpoint Security & Threat Protection
- 03Data Security & AI Governance with Microsoft Purview
- 04Cloud SIEM & SOAR Operations with Microsoft Sentinel
- 05Security Automation with PowerShell, Graph API & Logic Apps
- 06Azure Platform Security: Storage, Databases & Networking
- 07Capstone Projects & Career Launch