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CAREER TRACK

Forward Deployed Engineer Career Track

Forward Deployed Engineer

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100% LIVE Interactive Classes

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Forward Deployed Engineer

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100% LIVE Interactive Classes

3.3X
3.3X
Demand Growth
Demand Growth
2M
2M
2 Million Jobs Created
2 Million Jobs Created
$240,000
$240,000
Average Salary Package
Average Salary Package
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Application closes on:14 Aug 2026
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money back guarantee100% Moneyback Guarantee

Available in 4 monthly installments at $600/month

What is in it for you?

This 24-week career track transforms you into a Forward Deployed Engineer capable of building, deploying, and operating AI-powered systems across cloud, infrastructure, and product layers — from writing production Python and designing AWS or Azure architectures to shipping GenAI agents and managing MLOps pipelines. You'll work through real-world scenarios guided by mentors with 15+ years of industry experience, getting hands-on with everything from Kubernetes and Terraform to LangChain, RAG pipelines, and AI product strategy. Every week blends live sessions with applied projects so you graduate with a portfolio that reflects what modern engineering teams actually ship.
100% Live Classes

100% Live Classes 100% Live Classes

Instructor-led Live Sessions Instructor-led Live Sessions

Attend 4 weeks of instructor led live classes from the top 1% industry experts

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Projects & Case Studies

Projects & Case Studies

Projects & Case Studies

Gain hands-on experience with projects and real-world case studies for impactful learning.

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Verified Certificate

Verified Certificate

Verified Certificate

Earn a industry recognized certificate and kick start your career

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Session Recordings

Session Recordings

Session Recordings

Revisit older chapters anytime with recorded sessions

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Flexible Schedule

Flexible Schedule

Flexible Schedule

Choose live classes from different cohorts that fit your availability.

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Hands-on Lab Access

Hands-on Lab Access

Hands-on Lab Access

Students get access to labs to practice their learnings

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Fees$6000.00$2400.00
limited time offer60% OFF

money back guarantee100% Moneyback Guarantee

Grab your slot before the offer expires

Fees$6000.00$2400.00
limited time offer60% OFF

Reserve your spot today!

1
2

Basic Info

Select Offers

Application closes on:14 Aug 2026
Get instant access of pre-course material!

Full Name*
Email*
WhatsApp Number*
Checkbox EdYoda

Share the program details with me overWhatsappIcon

money back guarantee100% Moneyback Guarantee

Available in 4 monthly installments at $600/month

Learn from Top 1%

Sr. Managers, VPs, CXOs, Directors & Founders from companies shaping the future.

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Forward Deployed Engineer Career Track
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money back guarantee100% Moneyback Guarantee

Available in 4 monthly installments at $600/month

Reserve your spot today!

Full Name*
Email*
WhatsApp Number*
Checkbox EdYoda

Share the program details with me overWhatsappIcon

money back guarantee100% Moneyback Guarantee

Curriculum

Duration: 24 weeks
Max Batch Size: 15 persons
Live Sessions Schedule
dateSat - Sun (Weekends Only) timeTiming 7:00 AM - 9:00 AM / 8:30 AM - 10:30 AM / 11:00 AM - 1:00 PM / 5:00 PM - 7:00 PM / 7:30 PM - 9:30 PM EST

Modules
1. Python Basics & Environment SetupDownArrow
Sub-topics Covered
  • Setting up Python and choosing an IDE
  • Basic syntax and data types
  • Variables and operators
  • Input/output operations
  • Basic string operations
  • Writing your first program
  • Best practices for code formatting (PEP 8)
2. Control Flow & FunctionsDownArrow
Sub-topics Covered
3. Data StructuresDownArrow
Sub-topics Covered
4. Object-Oriented ProgrammingDownArrow
Sub-topics Covered
5. File Operations & Error HandlingDownArrow
Sub-topics Covered
6. Chapters & PackagesDownArrow
Sub-topics Covered
7. Advanced Python ConceptsDownArrow
Sub-topics Covered
8. FastAPI & Production EnvironmentDownArrow
Sub-topics Covered

Mentors

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12+ Years, Ex-Amazon, Startup Founding Team

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Right section image

22+ Years, Principal Engineer, IBM Research

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Right section image

20+ Years, Ex-Microsoft, Ex-Morgan Stanley

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Right section image

15+ Years, VP Product Lenskart, Ex-IIFL, Ex-Builder.ai

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Course Includes

course includes

LIVE Interactive Sessions

course includes

Quizzes, Assignments & Projects

course includes

Study Materials & Session Recordings

course includes

Lab Access

course includes

Certificate

Tools Covered

tool

Course Includes

course includes

LIVE Interactive Sessions

course includes

Quizzes, Assignments & Projects

course includes

Study Materials & Session Recordings

course includes

Lab Access

course includes

Certificate

Course Pre-requisites

  • pre-requisiteBasic familiarity with any programming language
  • pre-requisiteComfort using a computer terminal
  • pre-requisiteNo prior cloud or AI experience needed
  • pre-requisiteNo prior DevOps experience required

Outcomes

  • skillsBuild and deploy production-grade Python applications and FastAPI services following PEP 8, OOP, and async programming best practices
  • skillsDesign and implement highly available, multi-region AWS and Azure architectures covering compute, storage, networking, and database services
  • skillsDevelop, fine-tune, and deploy LLM-powered applications including RAG pipelines, AI agents, and multimodal systems using LangChain, LlamaIndex, and Hugging Face
  • skillsContainerize and orchestrate microservices using Docker and Kubernetes, and automate infrastructure provisioning with Terraform, Ansible, and Jenkins CI/CD pipelines
  • skillsArchitect and operate end-to-end MLOps and LLMOps platforms covering experiment tracking, model serving, drift detection, and agent observability with tools like MLflow, Langfuse, and Airflow
  • skillsDefine AI product strategy, write PRDs and agent scoping documents, and apply evaluation frameworks to measure and improve AI product quality and business impact

Projects You Will Build

Practical, enterprise-grade projects that reflect real industry challenges

01

Intelligent Document Q&A Platform on AWS

Build a production RAG application where enterprise users query a private document corpus via a FastAPI backend deployed on AWS EC2 behind an Application Load Balancer with Auto Scaling. Implement chunking strategies, vector storage with Pinecone, and LangChain orchestration, then containerize the stack with Docker and monitor latency and cost using CloudWatch. Deliverables include a GitHub repo, architecture diagram, and a benchmark report showing retrieval accuracy above 85% and p95 API latency under 500 ms.

02

Multi-Cloud AI Agent Deployment Pipeline

Design and ship a LangGraph-based AI agent that automates IT operations tasks, provisioned on Azure using Terraform and deployed through a Jenkins CI/CD pipeline with Ansible configuration management. The agent uses MCP tool calling, Langfuse observability, and a Kubernetes-hosted inference endpoint serving a quantized open-source LLM via llama.cpp. Deliverables include a fully automated IaC repo, a Grafana dashboard tracking agent success rate and token cost, and a runbook for rollback and retraining triggers.

03

End-to-End MLOps Platform for a Recommendation Model

Implement a complete MLOps lifecycle for a content recommendation model: version datasets with DVC, track experiments with MLflow, orchestrate retraining pipelines with Apache Airflow, and serve predictions via a FastAPI endpoint monitored with Prometheus and Grafana. Feature engineering is managed through Feast, embeddings are stored in a FAISS vector database, and the entire system is containerized and deployed to AWS using GitHub Actions CI/CD with automated rollback on metric regression. Deliverables include a reproducible pipeline repo, a model card, and an SLA report demonstrating model drift detection within 24 hours of distribution shift.

background certification section

for successfully completing the 'Forward Deployed Engineer Career Track' course conducted from 26 Feb 2026 to 13 Aug 2026

Add a Industry Recognized
Certificate To Your Resume

Industry Recognized
Certificate

Learn the best from the best

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    Career Advancements

    Elevate your career with a respected certificate

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    Industry Respect

    Gain credibility in the field

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    Networking

    Connect with experts and peers

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    Opportunities

    Attract exciting job prospects and promotions

Medal
CertificateImageMob

for successfully completing the 'Forward Deployed Engineer Career Track' course conducted from 26 Feb 2026 to 13 Aug 2026

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Limited time$6000.00
$2400.00
moneyback guarantee

100% Moneyback Guarantee

Limited time offer$6000.00$2400.00
moneyback guarantee

100% Moneyback Guarantee

Top 1% Recruiters - Get interview access to 550+ Companies

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Frequently Asked Questions

Everything you need to know about the course

1What background do I need before enrolling in this track?
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You need only basic familiarity with any programming language and comfort using a terminal — no prior cloud, AI, or DevOps experience is required, as the track starts from Python fundamentals and builds up progressively.

2What does this career track actually cover across 24 weeks?
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The track spans nine courses covering Python programming, AWS and Azure architecture, Generative AI and LLM development, AI agent frameworks, Docker and Kubernetes, Jenkins/Terraform/Ansible, MLOps/LLMOps, and AI product management — giving you a full-stack view of modern AI engineering.

3How much time should I set aside each week, and how are sessions delivered?
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Expect to invest roughly 15–20 hours per week across live instructor-led classes, hands-on labs, and self-paced review — all sessions are interactive and scheduled so you can ask questions in real time.

4What software or hardware do I need to participate in the hands-on labs?
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A laptop with internet access is sufficient; all labs use cloud-based environments (AWS, Azure) and open-source tools like Docker, Python, and VS Code that run on Windows, macOS, or Linux without special hardware.

5How much Python or programming knowledge is expected going in?
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The track begins with Python basics including syntax, data types, and control flow, so even if your Python is rusty or you come from another language, you'll be brought up to speed before advancing to APIs, OOP, and async programming.

6What kinds of roles can I realistically target after completing this track?
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Graduates are positioned for roles such as Forward Deployed Engineer, AI/ML Engineer, MLOps Engineer, Cloud Solutions Architect, AI Agent Developer, and AI Product Manager — all high-demand positions at product companies and consultancies.

7Micro Degree course is live or recorded?
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The Micro Degree course is an online LIVE course, where LIVE sessions will be conducted online on our Classroom platform. Prior to the start of the course, you'll receive preparatory material in the form of recorded content which can be access on the same platform.

8In what language will the course be taught?
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In this course instructors will use English language for teaching.

9How do I access the course details and learning material after registration?
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Upon successful registration, you will receive a confirmation email on your registered email ID. In this email you will receive login details for your newly created account on the Edyoda Classroom platform (https://classroom.edyoda.com). Additionally, you will receive a PDF guide containing step-by-step instructions on how to utilize the platform to access live sessions and learning materials.

10 Who are the instructors, and what is their experience?
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Our instructors are the industry experts with a minimum working experience of 10 years with a strong technical and teaching background. They bring industry knowledge and practical expertise to the course.

11Will there be assignments, assessments, or a final project in the course?
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Yes, the course includes online assignments, quizzes, and a final project to reinforce your learning and assess your proficiency in Forward Deployed Engineer Career Track.

12Can I interact with instructors and fellow students during the course?
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Yes, you can interact with instructors and fellow students through discussion forums, live Q&A sessions. We encourage a supportive learning community.

13Is there an additional cost for lab access?
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Yes, hands-on lab access is available at an additional cost, typically around ₹2,750 (or $30 for international learners) per year. This is the standard rate for most tracks, though specialized labs such as Data and Security may be priced differently. Beyond just practicing what you learn, the labs let you host and showcase your projects live, so you can share your work on social media or present it directly to recruiters as part of your portfolio.

14What is 100% moneyback guarantee?
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We offer a 100% money-back guarantee to ensure your complete satisfaction. If you're not satisfied, you can request a full refund within 3 days of purchase or before the second session, whichever comes earlier. Simply contact our support team(support@edyoda.com) with your purchase details, such as the order ID or email address, and share your reason for the refund. Requests made after 3 days or after the second session will not be eligible for a refund. There are no hidden charges, you will receive the full amount paid. Refunds are processed within 7–10 business days and credited back to your original payment method.

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