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Forward Deployed Engineering

  • 24/7 Support
  • 6 Months
  • 120 Sessions

Course Description

Forward Deployed Engineer is a 24-week professional certification program designed for software developers, cloud engineers, DevOps engineers, data engineers, AI/ML engineers and technical consultants. The program develops practical skills across Python, Linux, Git, REST APIs, databases, AWS cloud engineering, networking, security, Docker, CI/CD, generative AI, RAG, Amazon Bedrock and solution architecture. Learners work on customer-focused engineering scenarios, integrations, troubleshooting, cloud deployments and production-oriented applications. Through hands-on labs, solution-design exercises and a comprehensive capstone project, participants learn to analyse customer requirements, build scalable solutions, deploy them effectively and communicate technical outcomes in real-world enterprise environments.

 
 

One to One personalized training Schedule for Forward Deployed Engineering

EkasCloud provides flexible training to all it's student. Here is our training schedule. Incase you find these timings difficult, please let us know. We will try to arrange appropriate timings based on your Convenience.

15-09-2026 Tuesday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session
17-09-2026 Thursday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session
19-09-2026 Saturday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session
20-09-2026 Sunday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session

Course Detail

Forward Deployed Engineer is a 24-week professional certification program designed for software developers, cloud engineers, DevOps engineers, data engineers, AI/ML engineers and technical consultants. The program develops practical skills across Python, Linux, Git, REST APIs, databases, AWS cloud engineering, networking, security, Docker, CI/CD, generative AI, RAG, Amazon Bedrock and solution architecture. Learners work on customer-focused engineering scenarios, integrations, troubleshooting, cloud deployments and production-oriented applications. Through hands-on labs, solution-design exercises and a comprehensive capstone project, participants learn to analyse customer requirements, build scalable solutions, deploy them effectively and communicate technical outcomes in real-world enterprise environments.

 
 

Who Should Enroll?

The official syllabus identifies the following target audience:

  • Software Developers
  • Python Developers
  • Cloud Engineers
  • AWS Engineers
  • DevOps Engineers
  • Data Engineers
  • AI/ML Engineers
  • Solutions Engineers
  • Technical Consultants
  • IT Professionals

The program is particularly suitable for professionals who want to move beyond one specialized technology and develop the ability to take ownership of complete customer-facing technical solutions.

What You Will Learn

By completing the Forward Deployed Engineer program, learners will develop practical capability across the entire engineering delivery lifecycle.

You will learn how to understand ambiguous customer problems, gather requirements, design technical solutions, build Python applications, work professionally with Linux and Git, build and consume APIs, manage databases, deploy systems on AWS, configure secure cloud networks, containerize applications, build CI/CD pipelines, develop Generative AI and RAG applications, design enterprise architectures and troubleshoot production systems.

You will also learn how to communicate with customers, document technical decisions, present architecture proposals and manage a technical solution from discovery through deployment, support and handover.

The FDE Engineering Journey

Customer Discovery → Problem Definition → Requirements → Solution Design → Proof of Concept → Development → Integration → Cloud Deployment → Monitoring → Production Support → Handover

This end-to-end lifecycle is directly introduced in the first module of the program.

Key Learning Outcomes

Customer-Focused Engineering

Learn how to understand customer problems rather than starting immediately with a particular technology.

Structured Problem Solving

Develop skills in problem framing, root-cause analysis, technical trade-offs, hypothesis-driven thinking and decision-making.

Python Application Development

Build modular, reusable and production-oriented Python applications.

Linux & Software Engineering

Work confidently with Linux, Git, GitHub, debugging, code reviews, testing and professional development workflows.

API Development & Integration

Design REST APIs, integrate third-party systems, implement authentication and handle enterprise integration failures.

Database & Data Engineering

Develop SQL skills, design relational databases and build practical data-ingestion and transformation workflows.

AWS Cloud Engineering

Design, deploy and troubleshoot cloud applications using AWS compute, storage, database, IAM, networking and monitoring services.

Containers & CI/CD

Build Docker-based applications and automated build, test and deployment pipelines.

Generative AI Engineering

Develop applications with Large Language Models, structured outputs, tool calling and responsible AI practices.

Enterprise RAG

Build Retrieval-Augmented Generation applications, vector-search solutions and enterprise knowledge assistants.

Solution Architecture

Convert customer requirements into scalable, reliable, secure and cost-aware architectures.

Production Troubleshooting

Diagnose application, API, database, AWS, network, Docker, CI/CD and AI-related failures.

Customer Communication

Produce technical documents, architecture diagrams and customer-facing solution presentations.

Why Choose This Course?

End-to-End Engineering Skills

The program combines software, cloud, infrastructure, DevOps, data and AI rather than teaching each area in isolation.

Customer-Facing Technical Experience

Learners are trained to understand requirements and communicate solutions, which is a central capability of Forward Deployed Engineering.

Hands-On Learning

Each major technical module contains practical labs and implementation exercises.

AWS Cloud Exposure

The program includes AWS compute, storage, databases, IAM, networking, security, monitoring and container services.

AI + Cloud Integration

Generative AI, RAG, vector databases and Amazon Bedrock are taught alongside traditional engineering and cloud technologies.

Production-Oriented Mindset

Learners are introduced to logging, monitoring, troubleshooting, CI/CD, deployment, reliability and operational support.

Capstone-Based Learning

The final module combines customer data, documents, APIs, analytics and AI requirements into one realistic enterprise problem.

 
 
 
 
 

Theory → Demonstration → Guided Practice → Hands-On Labs → Real-World Scenario → Troubleshooting → Project → Assessment

The program includes 24 weeks of learning across 12 modules with hands-on technical activities throughout the course.

 
 

Forward Deployed Engineering Syllabus


6 Months Course 50% Theory 50% Lab Daily Home work & Real time Projects Unlimited Mock Exams Unlimited Mock Interview

Topics Covered

  • Forward Deployed Engineering Fundamentals
  • Problem-Solving & Engineering Mindset
  • Python Programming
  • Linux, Git & GitHub
  • Software Engineering Practices
  • REST APIs & System Integration
  • SQL, Databases & Data Engineering
  • AWS Cloud Engineering
  • AWS Networking, Security & Observability
  • Docker, Containers & CI/CD
  • Generative AI & LLM Application Engineering
  • RAG & Vector Databases
  • Amazon Bedrock & Enterprise AI
  • Solution Architecture & Customer Engineering
  • FDE Delivery, Troubleshooting & Capstone Project
 
 
 

Frequently asked question

Q: What if I miss a class?
A: We will stop the course for you because it is one-to-one or one-to-two students only.

Q: Will I get placement assistance?
A: Yes. You will get it once you are Certified.

Q: What if I have queries after I complete this course?
A: You can check our blog or send your queries from our website, social media like Facebook, Linkedin, Instagram, Twitter, and Youtube.

Q: How soon after signing up will I get access to the course?
A: Once you join the course, our Counselor Manager book a slot with our Trainer based on your and Trainer's available time.

Q: Is the course material accessible to the students even after the course training is over?
A: Yes, you can access our course material. Not only material, but you can also watch short and sweet videos from our Youtube Channel.

Q: What is the average salary ?   
A: $1,30,000

Q: How will this course help me pass the certification?
A: We provide separate Training for Exam and Interviews. In this Training will get more experience to pass Your Exam.

 
 
 

Admission Process

If a student want to take admission in any course he has to go with the following steps

Step 1
1 Hour Interview
  • Discuss Learning Goals: Understand the candidate’s career objectives, learning expectations, and prior experience (if any).
  • Personalized Course Recommendation: Based on the discussion, recommend the most suitable course.
  • Course Customization: Tailor the course plan to fit the candidate’s needs, including scheduling flexibility.
Step 2
3 Hour Assessment Session
  • Technical Skills Evaluation: Hands-on tasks or exercises to evaluate the candidate’s current technical understanding (for advanced courses).
  • Cloud Fundamentals Check: For entry-level courses, a basic assessment of cloud knowledge and IT skills.
  • Feedback & Results: Provide instant feedback and suggest an appropriate course path based on assessment performance.
Step 3
Final Enrollment

Upon successful completion of the assessment, candidates receive a customized learning path, course schedule, and payment options. Candidates can finalize their enrollment by agreeing to the course structure and payment plan.


Forward Deployed Engineering Fees
£ 7800