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Learn Intelligent Agents, earn certificates with free online courses from Stanford, MIT, UC Davis, IIT Kharagpur and other top universities around the world. Read reviews to decide if a class is right for you.
Explore how to build LLM-powered applications using LangChain, prompt engineering, and multimodal AI, covering structured data, fine-tuning, and responsible AI practices.
Master building and automating AI agents with OpenAI's Agent Kit—create workflows, integrate widgets, deploy agents locally and remotely, and evaluate performance for real-world applications.
Master data-driven AI agent optimization through statistical analysis, A/B testing, and performance measurement using SQL, dbt, and frameworks like LangChain.
Master Amazon Bedrock AI agent deployment through hands-on tutorials, from basic setup to building a complete web scraper agent with Lambda functions and knowledge bases.
Explore the strategic foundations of Agentic AI for business leaders—learn to evaluate, design, and adopt AI agents responsibly while managing risks and preparing for the CertNexus AGZ-110 exam.
Master building deterministic AI agents using MCP, PMAT quality metrics, finite state machines, and property-based testing for verifiable, repeatable outputs across real-world codebases.
Master the evaluation, governance, and scaling of AI agents—reduce hallucinations, ensure compliance, measure business impact, and manage agent lifecycles responsibly.
Explore Python programming, machine learning, and AI agent development. Build skills in feature engineering, AutoGPT, and GPT deployment for business, healthcare, and robotics applications.
Master Salesforce Agentforce to design, deploy, and govern production-ready AI agents with multi-agent coordination, enterprise integrations, and governance practices.
Master CrewAI Tools, MCP, and Agentic RAG to build intelligent multi-agent systems with memory, dynamic tool discovery, secure workflows, and scalable retrieval-augmented generation.
Master building AI agents with persistent memory using frameworks like LangMem, Mem0, and Supabase through hands-on projects from scratch to advanced implementations.
Master CrewAI Flows to build scalable multi-agent systems with event-driven workflows, guardrails, human-in-the-loop design, and observability tools like LangSmith and AgentOps.
Master RAG systems and intelligent agents with LangChain, covering vector indexing, document chunking, multi-agent architectures, and LangGraph to build scalable, production-ready AI solutions.
Explore intelligent agents, search algorithms, constraint satisfaction, learning methods, logical reasoning, and AI's future in this comprehensive overview.
Explore the fundamentals of AI, from perception and reasoning to machine learning, generative AI, and real-world applications, while understanding ethical challenges and responsible deployment.
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