Good to explore building AI agents and Automation.



Building AI Agents: Automation and NLP Foundations
This course is part of Building GenAI Applications and Agents Specialization


Instructors: Starweaver
Access provided by Capgemini
(19 reviews)
Recommended experience
What you'll learn
Describe the types, functions, and practical applications of AI agents across various industries.
Implement AI agents using advanced tools, applying them to solve real-world problems effectively.
Evaluate AI systems by their performance, addressing limitations, and leveraging collaborative frameworks.
Analyze the ethical and societal implications of AI, creating guidelines for responsible innovation and deployment.
Skills you'll gain
- Agentic systems
- Generative AI Agents
- ChatGPT
- Prompt Engineering Tools
- LangChain
- Performance Testing
- Innovation
- Data Ethics
- Responsible AI
- Artificial Intelligence
- OpenAI
- Automation
- Large Language Modeling
- Tool Calling
- Generative AI
- LLM Application
- Artificial Intelligence and Machine Learning (AI/ML)
- Business Process Automation
Details to know

Add to your LinkedIn profile
See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

Why people choose Coursera for their career




Learner reviews
19 reviews
- 5 stars
52.63%
- 4 stars
47.36%
- 3 stars
0%
- 2 stars
0%
- 1 star
0%
Showing 3 of 19
Reviewed on Sep 9, 2025
Reviewed on Oct 2, 2025
Building AI Agents: Automation and NLP Foundations
Explore more from Data Science
Coursera Instructor Network
Coursera Instructor Network
Coursera Instructor Network
Coursera Instructor Network