The role AI labs are paying the most to fill
*US market compensation figures, compiled from independent industry sources, shown for role context, not a guarantee of pay in any specific market or outcome.
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Built For
Whether you build or you're already client-facing, you're not starting over; you're completing the FDE stack. Tap any card below to see why it fits you.
Backend, full-stack & software engineers who want to move from writing features to owning AI deployments
Tap to learn moreYou already ship code. Here you add the AI engineering depth and the customer discovery, scoping and delivery craft that turn a strong SWE into a Forward Deployed Engineer companies fight over.
Data, ML & cloud professionals who want to deliver AI in real client environments, not just notebooks
Tap to learn moreYou bring the data and infrastructure background. This program adds agents, RAG, LLMOps and deployment ownership, so you carry a system from discovery all the way to a live, monitored production service.
Solutions architects & customer engineers who want the AI engineering depth FDE roles demand
Tap to learn moreYou're already comfortable in front of customers. We give you the hands-on build depth: RAG, agents, MCP, deployment, so you can architect and ship the solution yourself, not just spec it.
Ambitious early-career engineers & career switchers aiming straight for a high-paying AI role
Tap to learn moreYou don't need years of experience to start; you need a structured, project-first path. This one takes you from Python to a deployment-ready portfolio you can defend in an FDE interview.
Certification & Partnerships
An FDE has to prove they can architect with Claude and deploy on enterprise cloud. Module 7 (Claude CCAR-F) and Module 9 (Microsoft AI-103) map directly to the current public exam blueprints for both credentials below.
Anthropic's official, proctored credential at the architecture level. It validates your ability to design and ship production ready Claude applications, covering agentic architecture, MCP integration, Claude Code workflows and context reliability.
Validates your ability to plan, build and deploy generative AI and agentic solutions on Azure using Microsoft Foundry, including grounding, tool integration and responsible AI practices.
Platforms & exams covered
Certification exams are administered independently by Anthropic and Microsoft and are not included in program tuition.
ClaudeMicrosoftCurriculum
Ten modules taught live over 18 weeks: the AI engineering spine, then the client facing delivery craft that separates an FDE from a senior developer. Every module ends in something you ship.
Weeks 1 to 2, 10
Before any code, you learn the seat itself: what a Forward Deployed Engineer actually owns, why most AI pilots stall before production, and why the role pays what it does.
Weeks 1, 5
Every AI system is still just a program underneath. We lock in the engineering foundation before touching a single model.
PythonNumPyPandas
Weeks 2 to 3
An FDE can't just prompt; they have to prove it works. You learn to talk to models well, then measure them with real eval harnesses a customer would trust.
Claude APIOpenAI APIGemini APIHugging Face
Weeks 3 to 4, 6, 8
A demo RAG bot is easy. A RAG system grounded in a customer's messy, current data, one that holds up under real questions, is the FDE's bread and butter.
FAISSChromaDBLangChain
Weeks 3 to 4, 7
This is where you turn a corner, from calling a model to shipping something that reasons, acts and completes real work inside a client's stack.
LangChainLCEL
Weeks 4, 7 to 11
Single agents hit a ceiling fast. This module covers both how you give one agent structure and memory, and how you split real work across a team of agents the way you'd delegate across a team of people.
LangGraphCrewAIAutoGen (AG2)CCAR-F Prep
Module 7
Weeks 5 to 6
MCP is quickly becoming the standard way agents connect to tools and data. This module doubles as direct prep for Anthropic's own architecture exam.
MCPClaude APIClaude Agent SDKWeeks 11 to 13
This is the module that separates an FDE from every other kind of AI engineer, and almost no other course teaches it. You learn to walk into a client conversation and come out with a scoped, buildable plan.
AI-103 Prep
Module 9
Weeks 5, 9, 13 to 15
A working notebook isn't a deployment. This is where your system becomes something a customer can rely on: served, secured, monitored, and stress tested on the cloud they actually run.
FastAPIDockerKubernetesAzure AI FoundryWeeks 15 to 18
Everything comes together here: one panel evaluated capstone that proves you can deliver, plus the interview and negotiation prep that turns that proof into an offer.
Portfolio
Each project, drawn as the system you build: the real tools, and the data moving through them. Scroll; they animate.
Built in weeks 11 to 12
Three stakeholders and a vague brief go in. A scope you can defend comes out.
Built in weeks 3 to 6
Messy policy documents in, cited answers out, and a gate that refuses to ship on vibes.
Built in weeks 7 to 10
A planner, three specialist agents, a checker, and a human who signs off before anything irreversible runs.
Built in weeks 5 to 8
One typed, scoped integration layer between Claude and the systems the customer actually runs.
Built in weeks 15 to 17
A laptop demo, hardened and containerised, then handed over until their engineers ship without you.
Built in weeks 13 to 14
A notebook becomes an autoscaled, traced service with a dashboard a non-engineer can read.
Built in weeks 15 to 17
Attack your own system, harden it, and hand over the report plus the plan for the 90 days after you leave.
Built in weeks 14 to 18
One customer brief taken to a secured Azure deployment, then defended out loud to a panel.
Skills Covered
Tools & Frameworks Covered
Python Claude API OpenAI API 
RAG LangChain ChromaDB LangGraph AutoGen (AG2) MCP 
AWS Azure AI Foundry Docker 
Observability & Evals 
LangSmith 
GitHub Copilot
Program Creators
Six working trainers run this program live. Hover any card for their full background.
Naga Nandhini
Certified Trainer
Java Full Stack Corporate Trainer and Enterprise Solutions Expert
More about Naga
Powerhouse corporate trainer with 10+ years of upskilling engineers at HCL, Accenture, Cybage, Mobileum and Renault. An award-winning engineer who helped build the RAPTOR and KIKO platforms for an American Airlines client, she brings real enterprise delivery into every session.
Praveen Kumar
Certified Trainer
Full Stack and GenAI Corporate Trainer, Ex-TCS Team Lead
More about Praveen
Full stack lead and GenAI builder with 10+ years of training behind 50+ corporate batches for TCS, HCL, Perficient, Renault Nissan and Saint-Gobain. He ships real RAG and local-LLM systems with Ollama, FastAPI and Spring Boot, then teaches exactly how they work.
Johan
Certified Trainer
D365 Customer Service Lead, Power Platform School Founder
More about Johan
D365 Customer Service Lead – Europe at Avanade, and founder of the Power Platform School. A Microsoft Business Applications MVP and Microsoft Certified Trainer based in London, specializing in Dynamics 365 Customer Service and Power Platform.
Akim Nyamande
Certified Trainer
Microsoft, CompTIA, Juniper and Cisco Certified Trainer.
More about Akim
IT training facilitator with over five years of experience and certifications across Microsoft, CompTIA, Juniper, and Cisco. Previously a Network Administrator before moving into technical training, now delivering hands-on courses in networking, systems administration, and cybersecurity fundamentals.
Ali El Khatib
Certified Trainer
Cisco Certified Systems Instructor (CCSI), Microsoft Certified Trainer
More about Ali
Infrastructure Engineer at RHUH with 13 years in the training field, holding CCSI, MCSE, CCNP Routing and Switching, CCNP Security, CompTIA and Microsoft Azure certifications.
Arshad Ahmad
Certified Trainer
Microsoft Certified Trainer (MCT), Cybersecurity & Power Platform Expert
More about Arshad
Technology Trainer with 15 years in strategic client delivery, holding MCT, Azure Solutions Architect Expert, Cybersecurity Architect Expert and Power BI Data Analyst credentials, with 200+ trainings delivered.
Florian Garcia Compte
Certified Trainer
Cisco Certified Systems Instructor (CCSI)
More about Florian
Partner Director at AVAANZA FORMACION, a Cisco Learning Partner based in Madrid. Certified Cisco Systems Instructor (CCSI No. 21053) specializing in Cisco Data Center (ACI/SDN), Nexus, and Wireless, delivering official Cisco certification courses including CCNA, CCNP Enterprise, and CCNP Data Center.
Shantanu Pandey
Certified Trainer
Microsoft, Google, NVIDIA and HPE Certified Trainer
More about Shantanu
Director of Engineering at Meteoros Automation, ranked in Microsoft's Top 100 Trainers of 2025, holding MCT, Google Cloud, NVIDIA and PeopleCert credentials, with 500+ trainings delivered since 2011.
Sid
Certified Trainer
Microsoft Certified Trainer since 2016 and Azure Data Engineer
More about Sid
Dynamic corporate trainer and consultant with more than 10 years of experience across Microsoft Fabric, Azure Data Engineering, and modern cloud platforms. Focused on clear, practical learning that sticks.
Sravia
Certified Trainer
NVIDIA Authorized Instructor and AI Data Specialist
More about Sravia
Passionate AI and data evangelist with over 10 years of experience across machine learning, MLOps, and cloud native technologies. Dedicated to delivering impactful, engaging enterprise training programs.
Vikas Mittal
Certified Trainer
AI instructor with 25+ years in technology training
More about Vikas
Veteran technology trainer with more than 25 years of rich industry experience spanning Google, Microsoft, and emerging AI platforms. An exceptional mentor recognized for proven teaching excellence.
Bipeen
Certified Trainer
AWS, Microsoft, and Anthropic Certified Trainer
More about Bipeen
AI, machine learning, and cloud transformation expert with more than 25 years of experience. A renowned global corporate trainer and conference speaker known for practical, outcome driven sessions.
Learner & client voices
I had the opportunity to be trained by Vikas on a 4-day Google Professional Data Engineer course — a genuinely useful experience. His expertise in Data Science and Machine Learning shows in how he delivers the training, and it played a huge role in my clearing the certification exam on the first attempt.
Archana Bhalla
Data Science & Big Data Engineer, Atos
One of the best trainings I have ever attended in my life. The instructor gave an in-depth knowledge of Machine Learning and its use cases in the financial industry.
Ashish Kulshrestha
Managing Director, American Express
Vikas was invited to be a GCP data engineering instructor at a 4-day Google Developer Machine Learning Bootcamp in Bangkok, sponsored by Google. He simplified tough topics with concrete examples, making difficult material easy and fast to understand. Good instructor — thanks for the dedication.
Ekawut Suwanicho
Data & ML Solution Engineer, Tangerine Co. Ltd.
From corporate and bootcamp training led by our instructors. More on Success Stories.
Dual Certification + 360DT Certificate
A verifiable, portfolio-ready certificate that signals real, project-tested skill, not just seat time.
Fees & Batch
Forward Deployed Engineer (FDE) Program
EMI options available · Corporate/team batches, contact us
Put it in perspective: Forward Deployed Engineer is one of the highest-paid roles in AI, with US market pay reported well above Senior SWE and postings up 800%+ in 2025. This program is 80 hours of training plus 20 hours of dedicated project and interview prep, 8 real deployments and dual certification: the full path into that role.
Optional add-ons
The course is complete on its own. Add one only if it fills a gap. Nothing is pre-selected.
Cloud & Deployment
AI-Specific Add-Ons
Career & Soft Skills
Add-ons are added to your enrollment automatically when you click Enroll Now below.
Where This Takes You
Forward Deployed Engineering is the fastest-moving, highest-paid hiring category in AI right now, and India has very few trained for it. This is your on-ramp.
Forward Deployed Engineer 🔥 Highest Paid
The role Palantir, OpenAI & Anthropic are racing to fill, with pay well above Senior SWE.
Own AI systems end to end inside a customer's environment, from discovery to a live, monitored production service.
Applied AI Engineer ⚡ Fastest Growing
Turn cutting-edge models into products customers actually pay for.
Build AI apps, RAG systems and agent workflows that ship real, revenue-generating value.
AI Solutions Engineer 🛠️ Mission Critical
Be the engineer who makes the deal work in the customer's real environment.
Scope, architect and deliver AI solutions that integrate cleanly into a client's existing stack and constraints.
AI Deployment / Implementation Engineer 🏆 In Demand
Own the last mile, the part where AI actually goes live and gets adopted.
Deploy, secure, monitor and hand off production AI systems, then drive real adoption after rollout.
GenAI Consultant 🚀 Startup Favorite
Become the expert startups and enterprises call to get AI into production.
Advise on and deliver AI adoption (discovery, architecture and deployment) as a trusted outside expert.
AI Product Implementation Specialist 💼 High Trust Role
Be the bridge between a powerful product and the customer who has to run it.
Customize, integrate and operationalize AI products inside client teams so they deliver measurable business impact.
Placement Support · Included
A named mentor, recorded mock interviews, a résumé rebuilt around your projects, and warm introductions to our placement partners Arusto AI, Meteoros, Confluent and Accenture. Included with your seat, for 6 months after the course.
Each partner interviews and hires directly; an introduction is not a job offer. What career support covers.
Live, online, Saturday–Sunday · Enrolment closes Fri 20 Nov.
Join the 21 Nov batchFAQ
An FDE is a client-facing AI engineer who works directly with a customer to design, build, deploy and own AI systems in their real production environment, bridging product engineering and real-world delivery. It's the role frontier labs and enterprises are hiring aggressively for, and it typically pays above a Senior SWE.
No. We start from Python and the AI engineering foundations in the first modules. Basic programming, API or data familiarity helps, but no prior LLM, RAG or agent experience is required; the program is built as a transition path.
Most courses stop at building. This one adds the FDE spine that actually gets you hired: customer discovery, scoping, POC-to-production handoff, stakeholder communication, security reviews and a real deployment portfolio. You learn to deliver AI inside a customer's environment, not just demo it in a notebook.
No, exam fees are paid directly to Anthropic and Microsoft and are separate from program tuition. We prepare you fully for both; scheduling and payment for the exams themselves happen on their respective platforms.
Yes, mock interviews, the STAR+ behavioral framework, resume and LinkedIn support, an offer-negotiation workshop and introductions to hiring partners are built into the final module. Final hiring decisions always depend on your interview performance, portfolio and the employer's needs.
A laptop with a stable internet connection. All frameworks, model APIs and cloud sandboxes used in class are provided or free-tier for the duration of the course. If you miss a live session, every class is recorded and added to your dashboard the same day.
The next live batch starts Sat 21 Nov, and enrolment closes Fri 20 Nov. Classes run live on Saturday and Sunday, 8–11 PM IST.
Yes. Cards, UPI, net banking and EMI options are available at checkout; tenure and cost depend on your card.
Yes. Add your company's GSTIN in the cart before checkout so it appears on your invoice. For a team batch, talk to our corporate team.
One free batch transfer is allowed, up to 5 days before your batch starts and subject to seats in the new batch.
Every enrolment includes lifetime access to the recordings and materials from day one, so all enrolments are final. If you are unsure, book a free demo first, or use the one free batch transfer.
You get a confirmation email with your LMS login and batch schedule. Class links, recordings and materials are all in your learner dashboard.
Yes. Learners who meet the attendance and project criteria get a 360DT completion certificate they can share on LinkedIn. It is separate from the official exam certification.
Yes. Book a free demo or call +91 70914 64529, and an advisor will walk you through the syllabus and help you pick the right course.
