Engineer AI systems end to end: foundations, model inference and routing, context engineering, data and ingestion pipelines, and production RAG.
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🚀 AI Systems Engineering – Beginners to Advanced | Free Course
Welcome to the AI Systems Engineering free course by Skills Pragati.
In this course, you’ll learn how to design, build, secure, evaluate, deploy, and scale modern AI systems.
What You’ll Learn
🔹 AI Systems Engineering Foundations 🔹 Models, Inference & Routing 🔹 Context Engineering 🔹 Data & Ingestion Pipelines 🔹 Production RAG 🔹 Advanced Retrieval 🔹 Tool-Using Agents 🔹 Agent Orchestration 🔹 Agent Memory 🔹 MCP, A2A & Interoperability 🔹 Evaluation Engineering 🔹 Reliability Engineering 🔹 AI Security Engineering 🔹 Guardrails & Responsible AI 🔹 AI Application Architecture 🔹 Observability & LLMOps 🔹 Cost & Performance Engineering 🔹 Deploying & Scaling AI Systems 🔹 Enterprise AI Case Studies 🔹 AI Systems Design
This course takes you from AI fundamentals to advanced AI systems design, with a focus on real-world engineering and enterprise applications.
🎓 Complete course is free.
#AISystemsEngineering #AIEngineering #AIEngineer #GenerativeAI #LLM #AIAgents #AgenticAI #RAG #LLMOps #EnterpriseAI
This course does not have its interactive simulation yet. Follow the videos with the Hands-On Lab guide in the meantime; the simulation will appear here when it is ready.
5:41AI Systems Engineering - Beginners to Advance - Free CourseOverview
35:1201. Ai Systems Engineering FoundationsHands-on
43:2102. Models Inference And RoutingHands-on
45:4303. Context EngineeringHands-on
43:0704. Data And Ingestion PipelinesHands-on
45:2105. Production RagHands-on
44:3406. Advanced RetrievalHands-on
44:2107. Tool Using AgentsHands-on
45:1408. Agent OrchestrationHands-on
40:3009. Agent MemoryHands-on
46:3410. Mcp A2a And InteroperabilityHands-on
40:4311. Evaluation EngineeringHands-on
42:2312. Reliability EngineeringHands-on
43:5113. Ai Security EngineeringHands-on
42:1514. Guardrails And Responsible AiHands-on
41:5015. Ai Application ArchitectureHands-on
42:3916. Observability And LlmopsHands-on
42:2917. Cost And Performance EngineeringHands-on
43:1318. Deploying And Scaling Ai SystemsHands-on
43:1919. Enterprise Case StudiesHands-on
43:3320. Ai Systems DesignHands-onPrepare for Claude Certified Architect - Professional: Claude architecture, API engineering, prompt and context engineering, tool use and the Model Context Protocol.
21 videos15.2 h
Prepare for Claude Certified Architect - Foundations: how the exam works, when you need an agent, decomposition and execution patterns, multi-agent topologies and Claude Code configuration.
38 videos5.6 h
Prepare for Claude Certified Developer - Foundations: Messages API mechanics, Claude application design, tool use end to end, MCP server development and agents.
34 videos6.9 h
Prepare for Claude Certified Associate - Foundations: prompt anatomy and task decomposition, spotting a wrong answer that looks right, shaping output and choosing the feature and model.
10 videos46 min
Build Model Context Protocol servers from first principles: MCP architecture, the development environment, your first server, then tools and resources in depth.
19 videos7.7 h
Build enterprise AI agents for Microsoft 365 administration with Claude: Microsoft Graph for admins, then identity, licence and Teams administration agents.
15 videos4.6 h
Build production AI agents with LangGraph: why graphs instead of chains, state, nodes and edges, control flow, and tools with the ReAct pattern.
20 videos5.6 h
Build an agentic AI application in Python lab by lab: logger, memory, a base tool contract, calculator and web search tools, system prompts, the ReAct loop and a CLI.
16 videos2.2 h
Prompt engineering basics: instruction-based and role-based prompts, and zero-, one- and few-shot prompting.
6 videos34 min
Answers from our course videos, labs and pages, with sources.
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