πŸ“ Bengaluru, Karnataka, India βœ‰οΈ buildaicareers@gmail.com
Placement support Corporate training Free introductory call
Home β€Ί Courses β€Ί Forward Deployed Engineering

πŸš€ Forward Deployed Engineering

Learn to build, deploy and support customer-facing AI systems as an enterprise AI engineer.

⏱ 8–12 weeks Live Online β€’ Small batch

Overview

Forward Deployed Engineers sit at the intersection of engineering, customer context and AI product delivery. This programme teaches you to discover real problems, build grounded RAG and agent workflows, integrate with enterprise systems, and explain your work to technical and non-technical stakeholders.

What you will learn

  • Discovery and problem-framing with customer stakeholders
  • Grounded RAG systems with evaluation and guardrails
  • Agentic workflows, tool use and MCP integrations
  • Production deployment, monitoring and incident response
  • Code that holds up under client review and security review
  • Communication artefacts: design docs, runbooks and demos

βœ“ Job-Ready Track

This course is part of our job-ready track. It opens roles such as Forward Deployed Engineer, Enterprise AI Engineer, AI Application Developer. Placement assistance and weekly interview preparation are included.

Outcomes depend on your effort, background and market conditions. We do not guarantee a job.

Tools & technologies

πŸ€–LLM APIsπŸ”RAG🧩LangChain🐳Docker☁️AWSπŸ“ˆEvalsπŸ“MCP🐍Python

Syllabus

  • What FDEs own vs. SWE, data scientist and consultant roles
  • Discovery questions that surface real customer pain
  • Mapping business outcomes to engineering bets
  • Writing a one-pager stakeholders sign off on
  • Chunking, embeddings and retrieval tuning
  • Vector stores and hybrid search
  • Evaluation frameworks for retrieval and generation
  • Guardrails and hallucination controls
  • Tool use, function calling and planning
  • Building reliable multi-step workflows
  • MCP and A2A protocol fundamentals
  • Debugging agents in production
  • Connecting to existing data and APIs
  • Security, auth and PII considerations
  • Async processing and queue patterns
  • Observability for AI systems
  • Containerisation and CI/CD
  • Cloud deployment patterns
  • Monitoring, alerting and runbooks
  • Incident response and rollback
  • Demo preparation and storytelling
  • Design reviews and feedback loops
  • Capstone: end-to-end client scenario
  • Interview artefacts and portfolio
Keep exploring

Related courses

Have questions about this programme?

Book a free introductory call. We will discuss your background, the syllabus and whether this is the right starting point.

Book Intro Call