Forward Deployed AI Engineer
ANKUR NARANG
DeepTech Entrepreneur, Technology Leader
Kush Khurana
AI & ML Leader, Venture Partner - DCX
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Become the AI engineer who turns real customer problems into production systems
AI companies don’t just need engineers who can build models or agents. They need people who can take an ambiguous customer problem, understand the workflow, design the right AI solution, integrate it with existing systems, deploy it reliably, and prove business value.
That is the job of a Forward Deployed AI Engineer.
Most AI courses teach you how to use a model, build an agent, or work with a framework. This course teaches you how to own the full journey from customer discovery to production deployment.
You’ll learn how to work through messy data, legacy APIs, unclear requirements, security constraints, unreliable AI behavior, changing stakeholder needs, cost, latency, and adoption challenges.
Through hands-on builds, architecture exercises, enterprise scenarios, and a capstone, you’ll learn to operate at the intersection of AI engineering, software architecture, customer discovery, product thinking, and business outcomes.
The goal: become the engineer who can make AI actually work inside a real organization.
What you’ll learn
Learn to turn ambiguous customer problems into production AI systems, and become the engineer who can own outcomes end to end.
Map workflows, users, systems, data, pain points, and business constraints.
Define success metrics, system boundaries, automation opportunities, and an achievable MVP.
Translate stakeholder needs into clear technical requirements your engineering team can execute.
Choose between agents, deterministic workflows, RAG, models, APIs, and human-in-the-loop designs.
Design end-to-end architectures spanning AI, data, enterprise integrations, identity, and security.
Make practical model, platform, build-vs-buy, latency, reliability, and cost trade-offs.
Build working AI workflows combining models, agents, enterprise data, APIs, and tools.
Apply production engineering patterns for structured outputs, pipelines, integrations, and failure handling.
Move rapidly from prototype to a system designed for real-world deployment and iteration.
Design evaluations for quality, reliability, safety, latency, cost, and business performance.
Add observability, tracing, guardrails, testing, versioning, and failure-recovery mechanisms.
Learn deployment, CI/CD, monitoring, and operational practices for production AI systems.
Run customer workshops, pilots, rollout plans, and technical conversations with multiple stakeholders.
Connect engineering metrics to productivity, revenue, cost reduction, and operational outcomes.
Prioritize improvements using field feedback and turn successful deployments into reusable patterns.
Apply the Discover → Scope → Architect → Build → Deploy → Prove FDE operating model.
Complete a realistic capstone from customer problem brief through prototype and deployment plan.
Present an executive demo and business case as if proposing a production AI solution to a real customer.
Learn directly from expert instructors
ANKUR NARANG
Three decades building HPC and AI systems processing billions of transactions
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Kush Khurana
AI product and deep-tech builder, Visiting Professor at Ashoka University
Madhusudan Kumar
BTech & MTech IIT Mumbai. AI Lead with solid Agentic Experience
Who this course is for
Software, AI/ML, or data engineers who want to move from building components to owning end-to-end customer AI deployments.
Solutions architects, technical consultants, and implementation engineers moving into customer-facing AI and Forward Deployed roles.
Technical product managers, founders, and startup engineers who need to turn ambiguous business problems into deployable AI systems.
What's included
Live sessions
Learn directly from your instructors 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
Highly reputed co-branded certification by DeepCoreX Inc and AI CERTs. Share your new skills with your employer or on LinkedIn.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
Week 1
Discover & Scope the Right AI Problem
Week 2
Architect Production-Grade Enterprise AI Solutions
Schedule
Live sessions
4 hrs / week
Projects
2 hrs / week
Async content
2 hrs / week
Frequently asked questions
Maven for Teams
Reimbursement
Get your company to pay
Everything L&D needs: email template, receipts, and certificate of completion.
Get reimbursedTeam discount
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