The Forward Deployed Engineer (FDE) Master Programme- Live Training Demo

Module 1: FDE Introduction

• Why FDE Matters & Who Can Become One Learn how Forward Deployed Engineers bridge technology and business impact, and why professionals from diverse IT backgrounds can thrive in this role.
• The FDE Mindset & Skillset Discover the unique mix of technical breadth, adaptability, and client‑facing values that set FDEs apart from AI engineers, data scientists, and full‑stack developers.
• Your Role, Your Journey See how this course maps directly to your career path, with real‑world scenarios like a day in the life of an FDE to make the transformation tangible.

Module 2: FDE Coding Foundations

• Master Core Engineering Skills — set up Python, configure your development environment, and build confidence with the essential toolkits every Forward Deployed Engineer needs.
• Hands‑On AI Coding — learn to create real applications using FastAPI, Streamlit, and Gradio, connecting front‑end experiences with powerful AI back‑ends.
• Practical Foundations for AI Delivery — gain the technical baseline to design, test, and deploy AI‑native solutions in enterprise settings.

Module 3: AI Foundations for Field Deployment

• Core AI & LLM Concepts — build a strong foundation in AI mechanics, embeddings, vector databases, and retrieval‑augmented generation (RAG) with hands‑on demos.
• Practical Prompting & Engineering — master prompting patterns (zero‑shot, few‑shot, CoT, ReAct), system prompts, personas, structured outputs, and context management strategies.
• Applied Enterprise AI — learn lightweight evaluation methods and complete a mini project by building a RAG‑powered chatbot, preparing you to deliver real client solutions.

Module 4: Enterprise Full‑Stack Foundations

• From Business Needs to Architecture — learn to capture real ecommerce requirements and translate them into scalable enterprise designs with frontends, backends, APIs, and databases.
• Hands‑On Engineering — build REST APIs, design relational schemas, and implement secure authentication and checkout flows optimized for production scale.
• Enterprise Readiness — gain the skills to deliver resilient, customer‑facing applications that meet high availability and security standards.

Module 5: Agentic AI Foundations (FDE Lens)

Core Concepts (Framework‑Agnostic)

• Chains & Templates — learn modular pipelines using prompts, parsers, and chains; hands‑on: build a simple structured output chain.
• Conversational Memory — explore buffer, summary, and vector memory to maintain multi‑turn context; hands‑on: add memory to a chatbot.
• Document Loading & Splitting — prepare knowledge bases for RAG using loaders and text splitters; hands‑on: chunk documents for retrieval.
• Agent Fundamentals — understand perception, reasoning, action, and observation loops; learn ReAct and Plan‑and‑Execute patterns.
• Tool Use & Error Handling — connect agents to SQL or custom tools, implement retry logic, and return structured outputs safely.

Frameworks Overview (Survey)

• Claude SDK — lightweight agent orchestration with Anthropic models.
• LangChain & Langraph — popular abstraction layer for chains, memory, and tool use (covered briefly for demos).
• Other Emerging Frameworks — mention alternatives to show breadth and future‑proofing.

LangGraph Deep Dive

• Nodes & State Schema — design workflows with nodes, edges, and state schemas; hands‑on: build a simple state graph.
• Conditional Routing — route tasks dynamically to expert nodes; hands‑on: classifier node demo.
• Debugging & Visualisation — use LangGraph Studio to visualise and debug workflows; hands‑on: stream node‑by‑node execution.

Module 6: LangGraph for Complex Enterprise Flows

• Architect Stateful Multi‑Agent Workflows — design and coordinate long‑running enterprise processes across systems using LangGraph’s node‑based orchestration.
• AI‑Native Feature Development — build applied solutions like semantic product search, personalized recommendation engines, conversational shopping assistants, RAG‑based customer support bots, and automated content generation.
• Hands‑On Enterprise Demos — apply concepts directly by creating a semantic search demo, recommendation model, chatbot, support assistant, and product description generator.

Module 7: Designing AI‑Infused Enterprise Systems

• Enterprise Architecture for AI Apps — understand how AI modules fit seamlessly into ecommerce systems (frontend, backend, DB, APIs). Hands‑on: design an architecture diagram for an AI‑infused ecommerce platform.
• Scalability & Integration — learn to embed AI services into microservice architectures while ensuring performance and reliability. Hands‑on: integrate semantic search and other AI solutions into a product/other ecommerce API.
• Align with Enterprise Standards — gain the skills to deliver AI solutions that meet scalability, security, and compliance requirements in real customer environments.

Module 8: AI‑Infused Ecommerce Application

• Smarter Shopping Experiences — replace keyword search with semantic search, embed personalized recommendations, and integrate an AI shopping assistant directly into the checkout flow.
• AI‑Driven Customer Support & Analytics — deploy RAG‑powered bots in helpdesk portals and enable natural language queries over sales data for real‑time insights.
• Hands‑On Enterprise Builds — connect vector databases, integrate APIs, and deliver applied AI features that transform ecommerce into intelligent, customer‑centric platforms.

Module 9: Security & Guardrails Basics

• FDE Security & Compliance Essentials — implement strict guardrails, privacy rules, and governance policies to safeguard enterprise AI deployments.
• AI Safety Risks & Guardrails Frameworks — explore prompt injection, data leakage, and OWASP LLM Top 10; hands‑on with NeMo Guardrails and AI validators for safe input/output handling.
• PII Detection & Data Protection — use Microsoft Presidio for anonymisation; hands‑on: scrub sensitive data from chatbot responses to ensure compliance and trust.