Enterprise AI Agents: Build, Evaluate and Deploy Business Workflows
Dr. Rajat Dandekar
Vizuara Co-founder | Purdue PhD
Dr. Raj Dandekar
MIT PhD | Vizuara Co-founder
Build an enterprise agent you can evaluate, control and operate.
Bring Vizuara’s hands-on AI education to your next business workflow. Vizuara has an audience of 200,000+ followers; this cohort brings its teaching approach to Maven through four weeks, eight two-hour sessions, and one working enterprise pilot.
Build a headless ERP agent that onboards a supplier, prepares a purchase request, and recovers from failures without duplicate records. Connect company policies and tools while keeping permissions, human approvals, and audit trails explicit.
Start with a bounded Python agent. Compare LLM Wiki with hybrid RAG, integrate MCP tools, orchestrate with LangGraph, and evaluate behavior before packaging a FastAPI and Docker pilot. Explore Jev routing and Temporal as focused comparisons.
Leave with a runnable repository, evaluation scorecard, architecture memo, and operating runbook. You will explain where the agent helps, where it fails, and what must happen before a wider rollout.
For builders comfortable with Python, REST APIs, and Git. Plan for 3–5 hours of practice weekly. Use synthetic or approved data; provider usage costs are separate. Final live dates will be confirmed before enrollment opens.
What you’ll learn
Build an enterprise agent workflow with integrated tools, evaluation evidence and operational controls.
Map users, decisions, failure modes and success criteria before choosing an architecture.
Compare the agent with a deterministic baseline and identify where autonomy adds value.
Build a headless ERP pilot for supplier onboarding and purchase requests using synthetic or approved data.
Retrieve policy context and define typed tool interfaces with input validation.
Apply least-privilege access and require human approval for consequential actions.
Handle missing context, tool failures and malicious instructions in retrieved content.
Create an evaluation set covering normal cases, edge cases and rejected actions.
Measure quality, cost and latency; use evidence to define release gates.
Deliver tracing, escalation, rollback and an operating runbook.
Learn directly from expert instructors
Dr. Rajat Dandekar
Vizuara Co-founder | Purdue PhD | Teaching engineers to build AI systems
Dr. Raj Dandekar
Vizuara Co-founder | MIT PhD | Enterprise agent tools: LangGraph, Jev & more
Dr. Sreedath Panat
Vizuara Co-founder | MIT PhD | Enterprise agent tools: LangGraph, Jev & more
Who this course is for
Software and ML engineers comfortable with Python, APIs and Git who want to build reliable agents for business workflows.
Technical leads and solutions engineers with coding experience who need evidence, controls and an operating plan for enterprise pilots.
What's included
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.
One complete enterprise workflow
Build a headless ERP pilot for supplier onboarding and purchase requests, with policy retrieval, typed tools, human approvals, recovery tests and an operating runbook.
Evaluation and readiness evidence
Develop a held-out test suite, baseline comparison, cost/latency measurements and a capstone defense of your deployment decision.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
Week 1
Week 1 — Agent foundations and enterprise knowledge
Week 2
Week 2 — MCP tools and stateful orchestration
Free resources
Your capstone: a headless ERP agent
Build a working pilot that onboards a supplier and prepares a purchase request, with people in control of consequential changes.
CONTEXT — Retrieve policy evidence with citations and access controls. Keep live ERP facts in the ERP.
ACTION — Connect typed tools, validate inputs, and bind approvals to the exact version of the proposed change.
RECOVERY — Handle a lost response without duplicating a supplier or purchase request. Test rejection, cancellation and escalation.
EVALUATION — Compare the baseline and agent on normal, edge and adversarial cases. Measure task success, permissions, latency and cost.
HANDOFF — Deliver a runnable repository, evaluation scorecard, architecture memo, operating runbook and pilot proposal. Use synthetic or approved data. Production rollout requires organization-specific review.
What learners say about earlier Vizuara programs
“The live examples are easy to understand.”
Arun Kumar · Architect, Ramco Systems
Review of Vizuara’s earlier AI Agents Bootcamp.
This feedback describes a previous Vizuara program, not this new Maven cohort. Read the original review and more learner experiences at https://reviews.vizuara.ai/
Vizuara: first principles, working code, proven teaching
Vizuara brings first-principles explanations, live coding, research papers and hands-on projects to a global AI learning community. Our YouTube channel has 224,000 subscribers, and our platform has more than 19,000 registered accounts across school, institutional and professional programs.
Founded by Purdue PhD Dr. Rajat Dandekar and MIT PhDs Dr. Raj Dandekar and Dr. Sreedath Panat, all IIT Madras alumni. The founders co-authored Manning’s Build a DeepSeek Model (From Scratch).
Vizuara’s collection of 109 learner stories reports a 4.96/5 average across rated reviews, with reviewers from organizations including Bosch, ISRO and Confluent. This feedback comes from earlier Vizuara programs.
Read learner stories: https://reviews.vizuara.ai/
Watch our teaching: https://www.youtube.com/@vizuara
More free lectures — coming soon
Harness Engineering: Introduction — with Dr. Rajat Dandekar. Free lecture coming soon.
Inference Engineering — free lecture coming soon.
Reinforcement Learning — free lecture coming soon.
We will add the recordings and lecturer thumbnails when the links are ready. These are upcoming resources; the lecture links are not available here yet.
Frequently asked questions
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