ADaSci Academy

    Forward Deployed Engineer (FDE) Training Course

    The ADaSci Certified Forward-Deployed Engineer (CFDE) program is a comprehensive 30-hour, self-paced certification designed to develop engineers who operate at the intersection of customer engagement, rapid solutioning,…

    1,173+ enrolled
    30 hours
    Intermediate
    Forward Deployed Engineer (FDE) Training Course
    01 — Overview

    About this course

    The ADaSci Certified Forward-Deployed Engineer (CFDE) program is a comprehensive 30-hour, self-paced certification designed to develop engineers who operate at the intersection of customer engagement, rapid solutioning, and production-grade engineering.


    This program provides a full-stack immersion into the unique responsibilities and mindset of Forward-Deployed Engineers, professionals who translate ambiguous customer problems into precise technical architectures, build high-velocity prototypes, and deploy reliable, secure systems within complex enterprise environments. Combining engineering depth with customer-facing excellence, the CFDE certification prepares participants to deliver impact from the first engagement to production rollout.


    Through case studies, guided labs, real-world enterprise scenarios, and end-to-end solution-building exercises, participants acquire practical skills that translate immediately to field execution. The program builds confidence and capability in designing, implementing, and supporting customer-facing technical solutions with speed, rigour, and reliability.


    Globally recognized and backed by ADaSci, the CFDE certification validates your expertise in forward-deployed engineering, a rapidly growing discipline essential to AI-first, cloud-native, and enterprise transformation teams. This certification is ideal for software engineers, solutions engineers, customer-facing architects, FDE aspirants, and technical consultants who drive product adoption and deliver high-impact deployments.

    02 — Outcomes

    What you'll learn

    ✓
    Understand the FDE role and deliver production-ready systems using modern DevOps, CI/CD, and containerized workflows in enterprise environments.
    ✓
    Design and implement agentic AI systems with reasoning, memory, and orchestration using leading agent frameworks and LLM integrations.
    ✓
    Build, deploy, and operate agentic AI applications on cloud, on-prem, and local environments using scalable cloud-native architectures.
    ✓
    Apply security, compliance, and LLM observability practices to monitor performance, ensure reliability, and meet regulatory requirements.
    ✓
    Translate customer requirements into solution designs, architecture diagrams, and workflows aligned with real-world business needs.
    03 — Curriculum

    Course content

    7 sections · 48 lectures

    Course Introduction
    4m
    Understanding Forward Deployed Engineer Role
    26m
    Enterprise Environments
    30m
    Understanding GIT
    0
    Overview of GitFlow
    0
    Understanding Jenkins
    0
    Creating a Simple Job in Jenkins
    0
    CI/CD Implementation using GitHub and Jenkins
    0
    Containerisation with Docker
    0
    Implementation of Kubernetes through Minikube
    0
    Integration with LLMs & RAG for Enhanced Decision-Making
    210m
    Introduction to AI Agents
    27m
    Difference between Standard AI and Agentic AI
    0
    The Agentic AI Paradigm
    16m
    Architecting Multi-Agent Systems
    18m
    Building Agent Workflows with LangGraph - Intuition
    19m
    Building Agent Workflows with LangGraph - Hands-on
    14m
    Deep Dive into Multi-Agent Orchestration through Autogen & Autogen Studio
    19m
    Introduction to CrewAI and its Implementation
    11m
    Structured Agent Modeling with PydanticAI
    0
    Integrating Multiple Agentic Frameworks
    0
    Adding Persistent Memory to Agents with MEM0 - Hands-on
    10m
    Using smolagents for Finetuned LLM based Agents - Hands-on
    0
    Understanding Google's ADK In-depth
    27m
    Hands-on Demonstration of Google's ADK Framework
    70m
    A Refresher on Cloud Fundamentals
    0
    Cloud Deployment with Container Orchestration
    0
    Cloud Deployment with Managed Services
    0
    Local and On-Premise Deployment of LLMs
    0
    Amazon Bedrock
    0
    AWS Copilot
    0
    Deploying and Monitoring Agentic AI Applications on GCP
    26m
    Deployment AI Agents Locally - Hands-on
    21m
    Building, Deploying and Managing Agentic AI Application
    130m
    Data Lineage, Monitoring, and Observability Tools
    0
    Ensuring Data Privacy and Regulatory Compliance
    0
    Data Quality Frameworks
    0
    OWASP Top 10
    0
    Security, Governance, and Compliance in Agentic AI Systems
    0
    Deep Dive into LLM Observability
    33m
    Identifying KPIs relevant to LLMs
    49m
    Deep Dive into Arize Phoenix Ecosystem
    38m
    Implementation of Tracing using Arize Phoenix
    0
    RAG Pipeline with Phoenix Observability + Weaviate + OpenAI
    0
    Customer Centric Engineering Solutions
    0
    Solution Design Documents, Architecture Diagrams, and Workflows
    0
    Final Assessment
    60m
    Feedback and Continuous Improvement
    0
    04 — Prerequisites

    Requirements

    • This track prepares professionals to operate at the intersection of customers, product, and engineering, enabling them to diagnose complex challenges, engineer deployable solutions at speed, and accelerate value realisation in demanding enterprise contexts.
    05 — Audience

    Who should take this course

    • Intermediate to Advanced

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    Duration30h
    LevelIntermediate
    CertificateYes

    $164.99