Build agentic design patterns: reflection, tool use, planning, and multi-agent workflows
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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
Agentic AI represents a new way of building software that leverages LLMs to complete some or all of the steps in complex tasks. Instead of generating single responses to prompts, agentic workflows enable AI to plan multi-step processes, execute them iteratively, and improve outputs through reflection and tool use. This course teaches you to build these sophisticated AI systems from the ground up.
Youâll master four design patterns that power agentic AI systems:
The course emphasizes practical implementation using Python, building each pattern from first principles before exploring frameworks, giving you the flexibility to customize AI workflows for your specific needs. Youâll learn to deconstruct business processes into agentic workflows, identifying where human-like iteration and tool interaction can automate complex tasks. Critical evaluation skills are woven throughoutâyouâll build robust testing frameworks, conduct systematic error analysis, and optimize systems for production deployment.
Youâll earn a certificate upon completing the course, recognizing your skills in building agentic workflows.
Software developers who want to apply AI techniques to build autonomous systems that handle multi-step workflows.
Professionals with intermediate-level Python programming skills to be able to follow along with the implementations.
Professionals with a basic understanding of large language models and APIs who want to deepen their practical skills.
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What I loved about the âAI for Everyoneâ course was the comprehensive coverage of essential AI topics, guided by the expertise of Andrew Ng. The course provided a clear roadmap for initiating and managing AI projects, from project selection to implementation. It also offered insights into building AI teams and introduced the technical tools necessary for AI success
Simple enough to make it easy to understand in spite of being a complex topic, inspiring speaker. Time well spent, and a good fit with âlifelong learningâ approach.
What stood out to me about this course was the clarity and simplicity with which complex AI concepts were explained. The real-life examples and case studies helped me grasp the practical implications of AI in different sectors. The interactive nature of the course made learning engaging and enjoyable.
I am an educator and looking to incorporate AI into my career and help my colleagues to do the same. The course did a great job explaining AI concepts to people like myself who are just learning about any of this for the first time.
I took this course purely out of curiosity. After becoming aware of ChatGPT and Midjourney and then taking a short course on engineering the prompts to get the desired result, I became more intrigued with the topic of AI. I found this most helpful with regards to getting an idea about what AI actually is as opposed to what Hollywood conditioned me to believe it might be.
Loved the content. It brought simplicity to the complex topic of AI, separated signal from noise, presented a great flow and covered the most relevant topics.
Andrewâs knowledge and passion about the subject of AI was amazing. It was inspiring to listen to him, even via recorded videos. Its really great to be in this era of technology, as it makes it possible to get access to the wealth of knowledge so easily.
With a Pro membership, youâll unlock features that support hands-on, practical learning:
Access to quizzes and interactive labs within this course
A certificate of completion upon finishing the course
The ability to save your progress and resume anytime
Access to related learning tracks in the professional certificate series
Practice projects that help you apply what youâve learned
Community support and a global network of peers
Weekly updates on new AI tools and techniques
If you choose to audit the course for free, youâll still be able to watch the course videos and participate in the community forum, but you wonât have access to assessments, certificates, or project tools.
Yes, the course is designed to be self-paced.
The DeepLearning.AI Pro membership costs 30/mo billed monthly.
More pricing details are available on the membership page.
Important details:
Yes, if youâre enrolled through the DeepLearning.AI Pro membership and complete the required assessments, youâll receive a certificate upon completion. If youâre auditing the course for free, a certificate will not be provided.
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