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Forward Deployed Engineer Bootcamp

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Build AI agents, RAG apps, APIs, and cloud solutions while mastering customer discovery and enterprise delivery
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1/5
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0 students
Created by School of AI
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What you'll learn

  • Understand the Forward Deployed Engineer (FDE) role and the complete enterprise solution delivery lifecycle.
  • Conduct customer discovery sessions and translate business challenges into technical requirements.
  • Design scalable enterprise architectures using AI, cloud platforms, APIs, and databases.
  • Build Python applications and REST APIs using FastAPI for enterprise integrations.
  • Develop Generative AI applications using large language models, embeddings, and Retrieval-Augmented Generation (RAG).
  • Build AI agents that integrate with enterprise systems and automate business workflows.
  • Create rapid prototypes, proofs of concept (POCs), and minimum viable products (MVPs).
  • Containerize, deploy, and monitor applications using Docker, cloud services, and CI/CD pipelines.
  • Apply enterprise security, AI governance, data privacy, and responsible AI practices.
  • Develop a portfolio-ready enterprise AI solution and demonstrate its business value to customers.
This course includes:
7.5 total hours on-demand video
16 articles
0 downloadable resources
96 lessons
Full lifetime access
Access on mobile and TV
Certificate of completion
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Course content

Requirements

  • Basic programming knowledge, preferably Python, is recommended but not mandatory.
  • Familiarity with software development concepts, APIs, and databases is helpful.
  • No previous Forward Deployed Engineer experience is required.
  • A Windows, macOS, or Linux computer with internet access.
  • Ability to install free development tools such as Python, Visual Studio Code, Git, and Docker.
  • A free GitHub account for managing code repositories and projects.
  • Optional access to cloud platforms or AI model APIs for advanced hands-on exercises; some services may have usage costs.
  • Willingness to learn, experiment, solve business problems, and build practical applications.

Description

This course contains the use of artificial intelligence.

What does it take to become a Forward Deployed Engineer (FDE)—a professional who can understand complex business challenges, architect innovative solutions, build AI-powered applications, and deploy technology directly into enterprise environments?

Welcome to the Forward Deployed Engineer Bootcamp, a comprehensive, hands-on course designed to help you develop the technical, consulting, and problem-solving skills required for Forward Deployed Engineering.

Forward Deployed Engineers work at the intersection of software engineering, artificial intelligence, solution architecture, and customer engagement. Unlike traditional software engineers, FDEs collaborate closely with customers, identify business problems, rapidly prototype solutions, integrate enterprise systems, and deliver measurable business value.

This bootcamp takes you through the complete FDE lifecycle, from initial customer discovery to production deployment and ongoing optimization.

What You’ll Learn

Throughout this course, you’ll develop practical skills in:

  • Forward Deployed Engineering Fundamentals: Understand the FDE role, responsibilities, customer engagement models, and engineering lifecycle.

  • Customer Discovery and Consulting: Conduct discovery workshops, gather requirements, identify business challenges, and translate customer needs into technical solutions.

  • Enterprise Solution Architecture: Design scalable systems using cloud platforms, microservices, APIs, databases, and AI technologies.

  • Python and API Development: Build applications, develop REST APIs using FastAPI, and integrate enterprise systems.

  • Generative AI and RAG: Develop AI-powered knowledge assistants using large language models, embeddings, vector databases, and Retrieval-Augmented Generation.

  • AI Agents and Automation: Build intelligent agents capable of tool calling, accessing enterprise systems, and automating business workflows.

  • Rapid Prototyping: Create proofs of concept, minimum viable products, and customer demonstrations.

  • Cloud and DevOps: Containerize applications using Docker, implement CI/CD pipelines, and deploy applications to cloud environments.

  • Security and AI Governance: Apply authentication, authorization, data protection, responsible AI practices, and enterprise security controls.

  • Production Operations: Implement monitoring, logging, testing, troubleshooting, and performance optimization.

  • Customer Delivery and Business Value: Manage technical engagements, communicate with stakeholders, demonstrate solutions, and measure project outcomes.

Learn by Building a Realistic Enterprise AI Solution

This isn’t just a theory-based course.

You’ll work through a fictional enterprise customer engagement involving Northstar Logistics, an organization struggling with fragmented information, operational inefficiencies, and complex customer support workflows.

Acting as a Forward Deployed Engineer, you’ll design and build an Enterprise AI Operations Command Center.

Your solution will combine Python APIs, enterprise data integrations, Retrieval-Augmented Generation, AI agents, workflow automation, and a customer-facing dashboard.

You’ll also learn to secure, test, deploy, monitor, and present your application, simulating the responsibilities of an FDE delivering a real customer solution.

Who Should Take This Course?

This bootcamp is designed for software engineers, AI developers, solution architects, technical consultants, data engineers, implementation specialists, and professionals interested in transitioning into Forward Deployed Engineering.

Basic programming knowledge is recommended, but previous FDE experience is not required.

Start Your Forward Deployed Engineering Journey

By completing this bootcamp, you’ll gain practical experience across the enterprise solution delivery lifecycle and develop a portfolio-ready project demonstrating your engineering and customer-facing capabilities.

Go beyond writing code. Learn to solve customer problems, build intelligent applications, deploy enterprise solutions, and deliver measurable business value.

Who this course is for:

  • Aspiring Forward Deployed Engineers who want to understand the role and develop practical engineering and customer delivery skills.
  • Software Developers and Engineers looking to transition into customer-facing technical roles involving enterprise AI solutions.
  • AI Engineers and Generative AI Developers interested in building and deploying real-world AI applications, RAG systems, and intelligent agents.
  • Solution Architects and Technical Consultants who want to strengthen their hands-on implementation and enterprise integration capabilities.
  • Data Engineers and Machine Learning Engineers looking to apply their technical expertise to customer-focused AI projects.
  • Technical Sales Engineers and Solutions Consultants seeking deeper knowledge of enterprise architectures, rapid prototyping, and technical demonstrations.
  • Cloud Engineers and DevOps Professionals interested in deploying, securing, and operating AI-powered enterprise applications.
  • Computer Science Students and Early-Career Professionals preparing for technical consulting, AI engineering, and Forward Deployed Engineering opportunities.
  • Technical Leads and Engineering Managers who want to understand how FDE teams discover customer problems, deliver solutions, and measure business outcomes.
  • – Entrepreneurs and Technical Founders who want to rapidly prototype AI solutions, integrate enterprise systems, and deliver customer value.
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