Andrew Ng's latest course on intelligent agents, "Agentic AI"

《Agentic AI"courseAILeading expert Andrew Ng will deliver a lecture to help participants master the skills of building autonomous systems.intelligentCutting-edge knowledge in systems. The course focuses on...Agentic AITechnology, through reflection, tool use, planning, and moreintelligentbodyFour design patterns, explaining in depth how to break down complex tasks into multi-step workflows to achieve...AIThe course focuses on system self-optimization and integration with external tools. It incorporates numerous practical projects, emphasizing the development of participants' hands-on skills, while providing a comprehensive evaluation and optimization framework to ensure participants can apply their knowledge to production environments. Upon completion, participants will receive an industry-recognized certificate, proving their expertise in [specific areas/fields].Agentic AIProfessional competence in the field.

• Course Name:Agentic AI
• Course Level:intermediate
• Course duration5 modules, with a self-adjusted pace (the specific duration depends on individual learning speed).
• Course FormatOnline video courses, practical coding exercises, quizzes, and project practice.
• InstructorsAndrew Ng
• Course InstitutionDeepLearning.AI

• understand Agentic AI core concepts:master Agentic AI Definition, advantages, and how to solve complex tasks through multi-step workflows.
• Mastering four design patterns:
  • Reflection:AI Self-criticism and iterative improvement of output, for exampleautomaticCode review.
  • Tool Use:connect AI It enables databases, APIs, and external services to perform actual operations rather than simply generating text.
  • PlanningBreak down complex tasks into actionable steps and adjust accordingly in case of unforeseen circumstances.
  • manyintelligentbody(Multi-Agent)Coordinating multiple specializations AI The system handles different parts of complex workflows.
  • Agentic AI Overview:introduce Agentic AI This section explains the definition, characteristics, advantages, and how to break down complex tasks into multi-step workflows, laying the foundation for further learning.
  • Rethinking Design Patterns:study AI How to learn how to build self-optimizing workflows for database queries, chart generation, and document writing through self-criticism and iterative improvement of output.
  • Tools using design patterns:make AI The system can seamlessly integrate with external tools (such as databases and APIs) through tool calls, code execution, and Model Context Protocol (MCP) to extend its functionality.
  • Build Agentic AI ofpracticalSkillMastering evaluation, error analysis, performance optimization, and component-level evaluation.practicalTechniques to ensure AI System reliability in production environment andHigh efficiencysex.
  • High degree of autonomyintelligentbodypatternLearn how to create complex plans and coordinate multiple disciplines.intelligentbodySolving large and complex problems AI The system has mastered manyintelligentbodyThe system's communication mode.
  • Practical Projects:By comprehensively applying the knowledge learned, we will build a research agent that can autonomously collect information, analyze data, and generate comprehensive reports, thus applying theory to practical projects.

  Course website address

  • Official website addresshttps://www.deeplearning.ai/courses/agentic-ai/

  Target audience for this course

  • Intermediate Python DeveloperProfessionals with intermediate Python programming skills who can keep up with the code implementations and practical projects in the course.
  • software developer: Hope to apply AI Software developers who use technology to build autonomous systems capable of handling multi-step workflows.
  • For large language models (LLMPeople with basic knowledgeProfessionals who already have some understanding of large language models and APIs and wish to further deepen their practical skills.
  • right Agentic AI Interested practitioners: To emerging Agentic AI I'm interested in this field and want to build a complex system from scratch. AI System practitioners.
  • Hope to improve AI Learners with practical skillsThere is already a certain amount AI This course is designed for learners who want to improve their assessment, optimization, and deployment skills through real-world projects.
  • practicalHighly practical and hands-onThrough numerous code examples and practical projects, students can apply theoretical knowledge to real-world situations and improve their hands-on skills.
  • Systematic learning Agentic AI Design PatternsThe course provides in-depth explanations of reflection, tool usage, planning, and more.intelligentbodyFour design patterns to help students build complex AI system.
  • Provide a complete evaluation and optimization frameworkTrainees will learn how to assess... AI The system's performance is assessed, errors are analyzed, and the system is optimized to adapt to the production environment.
  • Industry-recognized certificatesUpon completion of the course, participants will receive a certificate from DeepLearning.AI The certificate issued proves that in Agentic AI Professional competence in the field.

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