Applied Agentic AI Engineering Certification
Niharika Srivastav
AI Governance Practitioner, Ex-Stanford
Sanjay Saxena
Chief AI Officer, CISSP, KPMG, Harvard
Building & Scaling Production Multi-Agent AI Systems
AI agent demos look effortless in 5-minute videos, but shipping them safely to real users is difficult.
In production, unmanaged agents break quickly:
• Technical Teams struggle with brittle prototypes that get stuck in loops, hallucinate tool calls, and run up surprise API bills.
• Delivery & Innovation Leaders struggle to establish quality benchmarks, ensure system reliability, and prove ROI.
• Security & Governance Teams struggle to audit autonomous execution, prevent prompt injections, and ensure compliance.
When prototypes can’t be trusted in production, organizations waste months and lose executive confidence.
This course gives you the complete blueprint to bridge that gap. You will learn how to architect, evaluate, secure, and deploy multi-agent systems designed for enterprise reliability.
Start shipping resilient AI systems your organization can trust.
What you’ll learn
Master end-to-end architectures, evaluation frameworks, and production patterns to build and deploy reliable multi-agent systems at scale.
Coordinate multiple AI agents to work together on complex tasks without getting stuck in loops or making wrong assumptions.
Master stateful agent graphs, cyclical architectures, and custom state machines using LangGraph.
Give agents safe access to internal databases, APIs, code sandboxes, and file systems using Model Context Protocol (MCP).
Standardize tool calling and prevent execution errors across distributed multi-agent systems.
Set up long-term memory and dynamic retrieval so agents remember user preferences and past runs.
Pull exact context on demand using Agentic GraphRAG without hallucinating facts.
Build automated evaluation pipelines (LLM-as-a-judge) to measure response quality and catch tool errors early.
Benchmark multi-agent performance and run CI/CD regression suites using LangSmith and Langfuse.
Protect your systems against prompt injection attacks and audit autonomous tool execution.
Control tool permissions with strict RBAC rules and set spending circuit breakers to prevent runaway API bills.
Build interactive web applications with real-time streaming and human-in-the-loop approval workflows.
Deploy durable background execution queues and stateful canvases using Next.js and Temporal/Inngest.
Learn directly from Niharika & Sanjay
Niharika Srivastav
AI Governance Practitioner, Ex-Stanford | AIGP
Sanjay Saxena
Chief AI Officer, CISSP, Harvard | Ex-Deloitte, KPMG
Who this course is for
Senior Software & Backend Engineers transitioning into production Agentic AI architectures.
Applied AI & ML Engineers upgrading from static RAG to dynamic, tool-augmented multi-agent systems.
Technical AI Product Managers & Tech Leads defining agentic roadmaps, designing UX, and managing cost/latency trade-offs.
Prerequisites
LLM Fundamentals
Foundational understanding of LLMs (API calls, prompt structure, basic embeddings).
Software Engineering Fundamentals
General software engineering fundamentals (APIs, Git, async flows).
What's included
Live sessions
Learn directly from Niharika Srivastav & Sanjay Saxena 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
Your purchase is backed by the Maven Guarantee.
Course syllabus
8 live sessions • 4 lessons
Week 1
Week 1: Build Reliable Multi-Agent Workflows
Sep
9
Session 1: Evolution of Agentic AI - How we got here
Sep
11
Session 2: Miulti-agent workflows
Week 2
Week 2: Safe Tool Calling & Model Context Protocol (MCP)
Sep
16
Session 3: Multi-Tier Memory & Agentic GraphRAG
Sep
18
Session 4: Programmatic Diagramming & Comic Art Direction
Schedule
Live sessions
4-6 hrs / week
Wed, Sep 9
3:00 PM—4:30 PM (UTC)
Fri, Sep 11
3:00 PM—4:30 PM (UTC)
Wed, Sep 16
3:00 PM—4:30 PM (UTC)
Projects
1-2 hrs / week
Async content
1-2 hrs / week
Enterprise Multimodal Book-Writing SaaS (Capstone Project)
An autonomous full-stack SaaS app that researches, drafts, illustrates with Mermaid/SVG and comic strips, and evaluates books with Human-in-the-Loop approval.
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