Description
The DeepLearning.AI Agentic AI Short Course is an intermediate-level program designed to teach participants how to build agentic AI systems. Led by Andrew Ng, the course focuses on creating AI systems that can execute complex, multi-step workflows. Participants will learn to implement agentic design patterns such as reflection, tool use, planning, and multi-agent workflows. The course emphasizes practical implementation using Python, allowing learners to customize AI workflows for specific needs.
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Throughout the course, students will explore how to integrate AI with external tools like databases, APIs, and web services. They will also learn to evaluate and optimize AI systems using performance metrics and error analysis. The course is structured into modules, each focusing on different aspects of agentic AI, including task decomposition, reflection design patterns, and tool creation.
Participants will engage in various video lessons, code examples, and graded assignments to reinforce their learning. The course offers a certificate of completion for those enrolled in the DeepLearning.AI Pro membership, which also provides access to quizzes, interactive labs, and a global network of peers. The course is self-paced, allowing learners to progress at their own speed.
This course is ideal for software developers and professionals with intermediate Python skills who want to apply AI techniques to build autonomous systems. It is also suitable for those with a basic understanding of large language models and APIs looking to deepen their practical skills. By the end of the course, participants will have mastered the skills needed to build sophisticated AI systems capable of automating complex tasks.
- CategoryCorporate Training & E-Learning
- Pricing ModelSubscription
DeepLearning.AI Agentic AI Short Course's Core Features
Build agentic design patterns: reflection, tool use, planning, and multi-agent workflows
Integrate AI with external tools: databases, APIs, web search, and code execution
Evaluate and optimize AI systems: performance metrics, error analysis, and production deployment
Practical implementation using Python
Deconstruct business processes into agentic workflows
Earn a certificate upon completion
Self-paced learning
Access to quizzes and interactive labs with Pro membership
How to use DeepLearning.AI Agentic AI Short Course?
Enroll: Sign up for the course
Learn: Watch video lessons and complete code examples
Practice: Engage in graded assignments and labs
Optimize: Evaluate and improve AI systems
DeepLearning.AI Agentic AI Short Course's Use Cases
- Autonomous Systems
- Tool Integration
- Performance Optimization
- Business Process Automation
- AI System Design
