LLMs, Transformers, RAG, Agents, MCP, Embeddings, Multimodal — understand them all, then choose your path: Low-Code or Full-Stack AI Engineering
5 Weeks · No Coding
Learning, Using, Building, Scaling, and Optimizing AI.
8 Weeks · Low-Code
Hands-on with Copilot, Cowork, OpenClaw, automation & no-code agents.
16 Weeks · Full-Stack
Build RAG, agents, MCP servers. Deploy with Docker, K8s, cloud.
3 Programs
Foundation + 2 Tracks
Fully Online
Live Classes + Recorded
Harvard Grad
Expert Trainers
Hands-On
Real Projects
3 Phases of AI Adoption: Everyone AI → Embedded AI → Embrace AI
Learn every AI buzzword. Understand, use, build, scale, and optimize AI.
Topics: AI, ML, DL, GenAI, LLMs, Transformers, Encoder-Decoder, Embeddings, Multimodal AI, Training vs Inference, Reasoning Models, Agents & MCP. Tokens & context windows. Self-attention & multi-head attention. Three types of language models. Parameters.
Tools: ChatGPT, Claude, Gemini, Perplexity AI
Outcome: Understand every core AI concept — from tokens to transformers to agents.
Topics: Prompt Engineering, Context Engineering, Models (Claude 4.6, Gemini 3.1, GPT-5, DeepSeek R1, LLaMA 4), APIs, Model Pricing, Hugging Face, Vibe Coding, Claude Code & Cowork, Computer Use & Browser Agents. Proprietary vs open source. Multimodal AI: images, video, voice, music.
Tools: ChatGPT, Claude, Gemini, Midjourney, Hugging Face, Claude Code, Cowork
Outcome: Navigate the full AI ecosystem — know what models exist, how to prompt them, and how to use AI tools hands-on.
Topics: RAG Pipelines, Text to SQL, AI Orchestration (LangChain, Google ADK, CrewAI), Agents, Benchmarks (MMLU, MTEB, SWE-bench, RAGAS, Chatbot Arena), AI Safety and Guardrails. Copyright & legal. Function calling & tool use.
Tools: Claude Code, Cursor, OpenClaw, Flowise, Dify
Outcome: Understand RAG, agents, orchestration, and the safety guardrails that matter.
Topics: GPUs (A100 → H100 → Blackwell Ultra), NVIDIA, Cloud (AWS, Azure, GCP), Kubernetes, Running AI Locally (Ollama, LM Studio, GPT4All), Hosting Open Source Models (vLLM, TGI), Inference Servers (NVIDIA Triton, TensorRT-LLM), Model Deployment, Real-World Applications, Scale of Modern AI.
Tools: Ollama, LM Studio, vLLM
Outcome: Understand the full deployment landscape — from local to cloud to enterprise-scale inference.
Topics: Fine-Tuning (SFT, RLHF), Quantization (GPTQ, AWQ, GGUF), Optimization techniques, Hyperparameters (temperature, top-k, top-p), GPU Optimization (mixed precision, batching, KV caching). When to fine-tune vs RAG.
Tools: Hugging Face Transformers, PEFT/LoRA, Ollama quantized models
Outcome: Know when and how to optimize AI models for cost, speed, and quality.
Master AI Inside the Tools You Already Use
Prerequisite: Everyone AI Foundation (5 Weeks)
Topics: Microsoft Copilot in Word, Excel, PowerPoint, Outlook, Teams. Copilot Cowork (powered by Claude). Google Workspace AI: Gemini in Gmail, Docs, Sheets, Meet. Claude add-in for Excel & PowerPoint. Apple Intelligence: Siri, writing tools, notifications.
Outcome: Automate real weekly workflows using embedded AI tools across Microsoft, Google, and Apple ecosystems.
Topics: Claude Cowork: desktop agent for file management, reports, expense tracking. Claude in Chrome: browser reading, clicking, form-filling. OpenAI Operator. Claude Plugins & MCP Connectors. OpenClaw: personal AI assistant via WhatsApp/Telegram/Discord.
Outcome: Set up Cowork + Chrome agent + OpenClaw for real daily tasks.
Topics: Zapier AI, Make (Integromat), n8n: triggers, actions, AI steps. MCP connectors for Google Drive, Slack, Notion, CRM. Always-on automations: cron jobs, webhooks, monitoring. AI inside Airtable, Retool, Notion.
Outcome: Build end-to-end automation (email → AI summarize → Slack → spreadsheet).
Topics: Text-to-Image: Midjourney, DALL-E 3, Adobe Firefly, Leonardo AI, Flux. Text-to-Video: Sora, Runway, Pika Labs, Seedance 2.0. Voice: ElevenLabs, NotebookLM. Music: Suno, Udio. Canva Magic Studio, HeyGen, Synthesia.
Outcome: Create a brand kit (logo + video + voiceover) using only AI.
Topics: Visual agent builders: Dify, Flowise, LangFlow, Botpress. Microsoft Copilot Studio. Knowledge-base chatbot from PDFs/URLs. Adding tools: web search, calculator, calendar. OpenClaw skills: building and installing community skills.
Outcome: Deploy a working customer support or internal FAQ agent.
Topics: Data prep for AI: chunking, cleaning. Testing: Chatbot Arena, Promptfoo, red-teaming. Prompt injection awareness & content filtering. EU AI Act basics. Copyright & ownership. Deepfake detection.
Outcome: Red-team your own chatbot, find and fix weaknesses.
Topics: End-to-end design and implementation. Example projects: "Build a Cowork workflow for weekly reporting", "Create an OpenClaw skill for team standup", "Design an MCP-powered Slack bot".
Outcome: Deliver a working MVP integrating 2–3 embedded AI tools.
Topics: Project presentation, ROI evaluation, risk discussion, lessons learned.
Outcome: Present final solution, document a reuse-ready runbook. Certificate ceremony.
Build, Deploy & Scale Full-Stack AI Applications
Prerequisite: Everyone AI Foundation (5 Weeks)
Git, Conda, VS Code/Cursor, Claude Code. Python refresher: NumPy, Pandas, scikit-learn. Vibe coding workflow. Claude Code: terminal-based agentic coding, voice mode, agent teams.
Outcome: Build a simple ML pipeline using vibe coding.
REST/GraphQL, async I/O. Anthropic SDK, OpenAI SDK, Gemini API. Structured outputs & function calling. Streaming responses (SSE). Building your first MCP server.
Outcome: Build data loaders + a working function-calling demo.
Routes, Pydantic models, error handling, testing. Streaming LLM responses (SSE patterns).
Outcome: Ship a clean, modular AI-ready REST API.
PostgreSQL, SQLAlchemy ORM. pgvector. Qdrant, Chroma, Pinecone. Embedding model selection (MTEB leaderboard).
Outcome: Implement semantic search over documents.
Chunking, retrieval, re-ranking (Cohere, cross-encoders). LangChain/LlamaIndex. Agentic RAG. Evaluation with RAGAS framework.
Outcome: Build a RAG system with citations.
Chat UIs, streaming, state management, auth flows. Vercel AI SDK.
Outcome: Build a real-time AI chat frontend.
FastAPI + React; CORS, SSE/WebSockets, E2E testing.
Outcome: Deliver a full-stack, real-time AI chat app.
Dockerfiles, multi-stage builds, secrets, Compose orchestration.
Outcome: Containerize your entire full-stack AI app.
LangChain & LangGraph. Google ADK. OpenAI Agents SDK. CrewAI. Multi-agent systems.
Outcome: Build a multi-agent system.
Building production MCP servers. Advanced tool composition. A2A & ACP protocols. OpenClaw architecture case study.
Outcome: Build & publish an MCP server.
Deployments, Services, Ingress, autoscaling. GPU scheduling.
Outcome: Deploy your AI app on K8s.
EKS/GKE/Cloud Run, GitHub Actions CI/CD. Ollama for local/on-prem. Secrets management.
Outcome: One-click cloud deploys.
OpenTelemetry, Prometheus/Grafana. LangSmith/LangFuse. Model registry, data drift detection.
Outcome: Monitor and alert on your AI pipeline.
OAuth/JWT, rate limits. Prompt injection defense (OpenClaw case studies). MCP permissions. EU AI Act compliance. NeMo Guardrails, Guardrails AI.
Outcome: Harden your AI app against attacks.
Caching, batching, quantization, structured outputs. Prompt caching. Model routing (cheap vs expensive). Autoscaling.
Outcome: Reduce costs by 50%+ on your AI app.
Architecture planning, build sprint, staging deploy. Final deploy, load test, demo. Runbook documentation.
Outcome: Launch a production-grade, cloud-ready AI product. Certificate ceremony.
Build real projects and applications from day one
Personalized attention with limited class sizes
Industry-recognized certification upon completion
Comprehensive AI/ML solutions for every need
Comprehensive AI training across all 3 phases of AI adoption
Strategic AI implementation and transformation for enterprises
End-to-end AI application development and deployment
Transform your business with strategic AI implementation
We help organizations leverage AI/ML technologies to drive innovation, improve efficiency, and gain competitive advantage. Our expert consultants bring years of experience in implementing AI solutions across industries.
Define your AI roadmap aligned with business objectives
Build tailored AI solutions for your specific needs
Seamlessly integrate AI into existing systems
Upskill your team and provide ongoing support
Ready to transform your business?
Schedule ConsultationWorld-class training from Harvard graduates and leading AI professionals
Expert Trainers
Harvard Graduates
Our lead instructors are Harvard University graduates with specialization in Data Science and AI Engineering
Industry Experience
20+ years of combined experience in AI/ML product development at leading tech companies
Real-World Expertise
Currently leading AI transformation initiatives at Fortune 500 companies
Dedicated Support
Personalized mentorship and career guidance throughout your learning journey
Our Mission: Bridge the gap between academic theory and real-world AI implementation
Classes fully online • Live sessions • All lectures recorded
Monday - Thursday: 7:00 PM - 11:00 PM EST
Saturday & Sunday: 7:00 AM - 2:00 PM EST
✔ Classes fully online — attend from anywhere
✔ Online attendance available
✔ All sessions recorded for review
✔ Dedicated Slack community
13 Weeks Total
5 weeks foundation + 8 weeks hands-on
21 Weeks Total
5 weeks foundation + 16 weeks hands-on
Next Cohort Starts Soon
Reserve Your SpotContact us for training enrollment or consultancy services
Response time: Within 24 hours
Next sessions starting July 2026 — Limited Seats! Contact us to discuss your training needs.
Next sessions starting July 2026 — Limited Seats! Reach out to block your spot NOW.
Everyone AI = use AI tools directly (ChatGPT, Claude). Embedded AI = AI inside apps you already use (Copilot in Excel, Gemini in Gmail). Embrace AI = build with AI (RAG, agents, LangChain, Kubernetes). Our training takes you through all three.
Yes, the 5-week Everyone AI foundation is mandatory for all students. It provides essential understanding needed for both the Embedded AI and Embrace AI tracks.
You can decide on your track after completing the 5-week foundation. However, once you begin either track, we recommend completing it for the best learning experience.
No coding experience is required. The Embedded AI track teaches you to leverage AI tools like Copilot, Cowork, and OpenClaw without programming.
Basic programming knowledge is helpful but not required. We'll teach Python from scratch, though familiarity with any programming language will help you progress faster.
All classes are fully online with live instruction. Attend from anywhere in the world. All sessions are recorded so you can review at your own pace.
Yes, we offer customized corporate training programs tailored to your organization's specific needs. Contact us for details.
Upon successful completion, you'll receive an industry-recognized certificate from AIMLEngineers that you can add to your LinkedIn profile and resume.