AI Agent Development for Software Engineers
Build production ready AI agents with ADK, A2A, and MCPs. Learn evaluation frameworks and context engineering for real-world applications.
This course is no longer available.
Explore other coursesCourse overview
Build AI Agents with Google ADK, MCPs, and A2A for smarter enterprise workflows.
Build production ready AI agents with Google’s Agent Development Kit, integrate with Model Context Protocols for better context management, and apply Agent-to-Agent protocol (A2A) for communicating between agents. Learn evaluation frameworks and context engineering for real-world applications.
For software engineers and tech leads eager to build practical AI agents and smarter workflows. All experience levels welcome.
01
Engineers looking to master AI agent development with hands-on projects and real-world applications.
02
Professionals who want to build smarter enterprise workflows by integrating agents and advanced protocols.
03
Learners of all backgrounds eager to expand their skills, explore agent frameworks, and join an engaged community.
Prerequisites
Basic programming knowledge (preferably in Python)
Familiarity with software engineering concepts
What you’ll get out of this course
Build and deploy production-ready AI agents
Build and deploy your own MCP server that integrates seamlessly with your AI agent
Implement Agent-to-Agent communication protocols to enable collaborative AI workflows
Evaluate and optimize your agent's performance using ADK metrics and Arize AI monitoring tools
What’s included
Live sessions
Learn directly from Nishi Ajmera in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
3 live sessions • 5 lessons
Week 1
- 📄
Foundations of AI Agent Development and ADK
Complete by Nov 29 - 📄
ADK Deep Dive
Complete by Nov 29
Nov
1
Session 1
Foundations of AI Agent Development and ADK Deep Dive
Week 2
- 📄
Model Context Protocols (MCPs) and Context Engineering
Complete by Dec 6 - 📄
Agent-to-Agent Communication (A2A)
Complete by Dec 6
Nov
8
Session 2
Model Context Protocols (MCPs) and Context Engineering
Agent to Agent Communication
Week 3
- 📄
Evaluation and Productionization
Complete by Dec 13
Nov
15
Session 3
Evaluation and Productionization
Meet your instructor
Nishi Ajmera
Nishi Ajmera
Solutions Architect at Publicis Sapient | Google Developer Expert (GDE) AI/ML | Women Techmakers Ambassador
AI/ML thought leader, trusted mentor, and advocate for diversity in tech. Active in public speaking, Global conferences and GDG community, and advanced AI topics like LLMs, AI agents, RAG and automation.
Course schedule
2-4 hours per week
Saturdays
9:00am - 12:00pm BST
This cohort will start on 1st November and end on 15th November
Weekly projects
2 hours per week
Learning is better with cohorts
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you