Forward Deployed Architect Training Program

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Forward Deployed Architect Training Program

Forward Deployed Architect Program

Learn to deploy LLMs, MCP servers & multi-agent systems as a Forward Deployed Architect.

4.9/5

An extensive 100 hours of the Forward Deployed Architect Program
Master AI agent development and deployment
Build production-ready RAG systems with Claude and OpenAI
Do a sponsor-grade hands-on capstone project and skills assessment
Access 6 months of AI coaching support after course completion

An extensive 100 hours of the Forward Deployed Architect Program
Master AI agent development and deployment
Build production-ready RAG systems with Claude and OpenAI
Do a sponsor-grade hands-on capstone project and skills assessment
Access 6 months of AI coaching support after course completion

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Course Overview

Overview of Forward Deployed Architect Program

AI is changing the way businesses work, and organisations are looking for professionals who can build and deploy intelligent AI solutions. Simpliaxis introduces the Forward Deployed Architect Training Programto help you gain practical skills in agentic AI systems, multi-agent architectures, and enterprise RAG solutions using modern AI tools and frameworks. Don't just learn AI theory; become the architect enterprises hire to deploy AI at scale.

Transform from developer to AI Forward Deployed Architect through hands-on projects and learning.

What is the Forward Deployed Architect Program?

The Forward Deployed Architect Program is an intensive, project-based certification designed to transform software engineers and AI practitioners into enterprise-ready AI architects. This program bridges the gap between theoretical AI knowledge and practical deployment expertise.

This curriculum covers seven comprehensive stages:

Stage 1: Agentic AI Engineering & LLM Concepts
Stage 2: Autonomous Software Development with AI SDLC Assistants & Spec-driven development
Stage 3: Well-Architected AI
Stage 4: AI Infrastructure
Stage 5: Selling & delivering AI Products & Solutions
Stage 6: Capstone, Post Assessment/Skills Interview & Defence
Stage 7: AI Coaching (monthly support & new AI tech & use case immersion)

What’s Included in this Forward Deployed Architect Program?

This Forward Deployed Architect Course offers comprehensive resources for mastering enterprise AI.

Breakout Room Collaborative Activities
Agent Evaluation Frameworks Access
Code Repositories and References
AI Governance Toolkits Provided
Deployment Templates and Samples

What are the Skills Covered in the Forward Deployed Architect Program?

The Forward Deployed Architect Training develops advanced technical and business capabilities skills for the success of enterprise AI implementations.

Agentic AI Engineering
LLM Integration
RAG Development
Multi-Agent Architecture
MCP Server Development
Autonomous SDLC
Context Engineering
Agent Evaluation
AI Governance & Security
Cloud Deployment
Business Consulting

What are the Tools and Frameworks Covered in this Forward Deployed Architect Program?

This Forward Deployed Architect Training Program provides hands-on experience with cutting-edge AI development tools and enterprise frameworks.

Large Language Models: Anthropic Claude, OpenAI GPT-4/Codex, Google Gemini, Deepseek, Kimi K2, Minimax, GLM, Qwen
Agent Development Frameworks: Google ADK, AWS Strands SDK, Langgraph, Langflow, n8n.io, Langchain
Agent Development Frameworks: Claude Code, GitHub Copilot, OpenAI Codex, GitHub Speckit
Cloud AI Platforms: AWS Bedrock, Google Enterprise Agent Platform, Azure AI Foundry, Databricks
Development Tools: FastMCP, MCP protocol, Agent Skills, Agents.md, A2A protocol
Evaluation: LLM-as-a-judge, Galileo AI, evals frameworks, agent harness
AI Governance & Security: Databricks AI Governance, ISO 42001, NIST RMF, OWASP Top 10
Local Development: Ollama, Apple Mac Mini/Studio, AMD & NVIDIA stack

What are the Modes of this Forward Deployed Architect Program?

This Forward Deployed Architect Training Program is delivered entirely in Online Mode, providing flexible access to live instructor-led sessions, hands-on labs, and collaborative breakout activities. You can attend from anywhere in the world at your own pace and in your own location.

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Forward Deployed Architect Program Training Highlights

What are the Key Highlights of the Forward Deployed Architect Program?

Our Forward Deployed Architect Program offers exclusive benefits and competitive advantages over other training providers.

100 hours of intensive training across 7 specialized stages

38 hours of hands-on labs with multi-agent builds and MCP development

Live instructor-led sessions with AI deployment experts

Premium tools: Claude, OpenAI Codex, Langgraph, AWS Strands SDK, Google ADK

Real-world project portfolio and capstone assessment

Skills interview and technical evaluation

6 months of AI coaching (50 hours of monthly support)

Industry-recognized certification

Business AI frameworks for consulting and ROI calculation

Post-course resources: evaluation frameworks, governance toolkits, deployment templates

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Career upliftment

Boost Your Career with a Forward Deployed Architect Program

What are the Learning Outcomes of the Forward Deployed Architect Program?

The Forward Deployed Architect Training teaches you the following comprehensive core domains

General AI/ Artificial General Intelligence, Agentic & Generative AI
Code generation, review, testing, and deployment using AI Agents/ Agentic SDLC tools
Agent System Design Fundamentals
On-premise & cloud-based AI Infra
AI Consulting mindset, Business AI Frameworks, finding AI opportunities
Use case discovery, converting opportunities to revenue, and pilots
Implementations, post-production operations & ROI calculation

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Forward Deployed Architect Program Practice Test

Immediate Results
Sample Papers
Time-Limited
Comprehensive Explanation
Previous Exams

Benefits focused on Individuals and corporate

What are the Benefits of Getting a Forward Deployed Architect Program?

Individuals Benefits

Learn the latest AI agent building skills practically
Earn higher pay in the growing AI field
Lead enterprise AI transformation initiatives with confidence
Access an exclusive network of AI practitioners worldwide
Add a recognized certification to your professional profile
Move up from a developer to an architect role
Stay current through ongoing coaching and support
Show real results using proven methods

Corporate Benefits

Start using AI faster across your company
Reduce implementation costs with trained internal experts
Win competitors using smart automation tools effectively
Reduce reliance on expensive outside AI vendors
Work more quickly with autonomous agent workflows
Create custom AI solutions for specific needs
Ensure responsible AI deployment through governance knowledge
Get better returns using tested business approaches

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Common attendees

Who usually attend Forward Deployed Architect Program Training

The Forward Deployed Architect Program attracts diverse professionals seeking to master enterprise AI implementation and deployment.

Software Engineers & Application Developers
AI/ML Engineers & Data Scientists
Solutions Architects & Enterprise Architects
DevOps Engineers & Platform Engineers
Technical Consultants & Implementation Specialists
Product Managers & Technical Product Owners
Engineering Managers & Tech Leads
Backend Developers & API Engineers
Cloud Engineers & Infrastructure Specialists
System Integrators & Technology Advisors

Prerequisites for Forward Deployed Architect Program certification training

What Prerequisites Are Required for the Forward Deployed Architect Program?

The Forward Deployed Architect Program requires below foundational technical skills to ensure successful learning and hands-on project completion.

Basic programming knowledge in Python or JavaScript
Understanding of APIs and RESTful web services
Familiarity with cloud platforms like AWS or Azure
Experience with software development lifecycle processes
Knowledge of databases and data storage concepts
Comfortable using command line and development tools
Bachelor's degree, Master’s degree, or PhD in Computer Science or related field

But the above requirements are not mandatory. If you have that, it’s an added advantage.

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Steps to Get Forward Deployed Architect Certification

Enroll Online:

Attend Training:

Join live sessions and interactive learning activities

Complete Labs:

Finish hands-on exercises & Create a sponsor-grade project

Get Certified:

Receive the LinkedIn Shareable Forward Deployed Architect certification

Curriculum

Stage 1: Agentic AI Engineering & LLM Concepts (68 Hours)

Module 1: Overview of Generative AI and LLMs (4 Hrs)

Artificial Intelligence and Machine Learning
Key types of Machine Learning- Supervised & Unsupervised Learning
Basics of Deep Neural Network
Natural Language Processing & Generative AI
Overview of LLMs & Multimodal LLMs
Demo - Solving ML, NLP Problems using LLMs

Hands-On Activities / Labs

Multimodal Embedding
Subword tokenization

Module 2: Working with Retrieval Augmented Generation (6 hours)

Concept of Retrieval Augmented Generation (RAG) with 2 real-life examples
Data pipeline for RAG
Demo/ Code walkthrough- Naïve RAG
Breakout Room Activity- Understanding code/ flow of an E2E RAG pipeline
Business use cases of RAG Apps across Industries and Horizontals/ Functions, including Vertical AI Agents
Chunking Strategies
Creating Vector embeddings and storing them in a Vector database, with examples
Retrieval Mechanics & Similarity/ Vector search techniques
Langchain for RAG Development
Techniques for improving RAG accuracy, Reranking, chunk optimization, and others
Langflow for low-code, no-code visual modeling-based RAG development
Lab: Building RAG Data ingestion, indexing, retrieval, and generation pipeline
Advanced RAG techniques- Agentic RAG, GraphRAG, Multimodal RAG

Hands-On Activities / Labs

Agentic RAG
Multimodal RAG
Graph RAG
RAG Evaluation

Module 3: AI Agents & MCP Servers- Deepdive (20 hours)

Overview of AI Agents/ Agentic AI & role of LLMs/ SLMs
Tool use/ function calling
MCP Servers - connecting AI Agents to 3rd party apps
MCP Client & MCP Host
Business use cases of AI Agents across Industries and Horizontals/ Functions, including Vertical AI Agents
Technical use cases of AI Agents (in SDLC automation)
MCP Server Security
Step-by-step - Designing an AI Agent
Building Agent with tools & MCP Server - Google ADK, AWS Strands SDK, Langgraph
Advanced Context Engineering for Agents
Agentic Memory - Long-term, short-term, with demos
Agents controlling browser, keystrokes, and mouse clicks/ computer control with demos (short)
Deep Agents- working with complex, long-running tasks
AI Agent Building Tools- Code-based and low-code, no-code
AI Agent/ Agentic AI Pricing models & how they are disruptive to existing SAAS models
Breakout Room Activity: Building use case and specs for an AI Agent
Multi-agent systems
Quiz and Q&A

Module 4: Building & integrating AI Agents- Technical Deepdive (38 hours)

Demo- Building a Multi-agent system with Langgraph
Demo- Building a custom MCP Server with FastMCP
Demo- Building an AI Agent with AWS Strands SDK
Demo- Building an AI Agent with Langflow
LLM/SLM selection for AI Agents/ Agentic AI
Demo: Reflection in AI Agents
Building multi-agent systems
Google Agent2Agent (A2A) Protocol for multi-agent collaboration with demo
Demo: Multi-agent collaboration
Agentic RAG
Agent Skills and Agents.md
Designing and building Agent UI-UX / Conversational experiences - Good practices, frameworks & tooling
Agent Harness
Different ways of training Agents on custom enterprise data
Breakout Room Activities - Technical Design of an AI Agent
Quiz and Q&A

Hands-On Activities / Labs

Build a multi-agent system with Langgraph (Select domain use cases)
Build a multi-agent system with AWS Strands SDK
Build a multi-agent system with Langflow (Select domain use cases)
Context Engineering- 3 labs
Agentic Memory- 2 labs
Reflection in AI Agents
Multi-agent collaboration with A2A protocol
Agent Skills (Select domain use cases)
Agents.md (Select domain use cases)
Use GitHub Copilot Agent mode & connect with GitHub MCP Server
Build an AI Agent with MCP Server Integration
Agent Harness

Module 5: Production deployment of AI Agents

Responsible AI and AI Governance for Agents (Databricks AI Governance Fwk, ISO42001, NIST RMF)
Agent Evaluation
Select customer case studies on Agent and RAG Evaluation
Agent Security (Agent identity, Threat modeling, OWASP Top 10, Red teaming)
Agent deployment & scaling options on AWS Bedrock, Azure AI Foundry, Google Enterprise Agent platform
Post-production considerations for AI Agents
Demo - Guardailing LLM/ Agent
Building well-architected agents/ Architectural perspectives
How to optimize Agent cost/how to build solutions with token constraints
Quiz and Q&A

Hands-On Activities / Labs

LLM-as-a-judge for Agent Evaluation
Agent Evaluation with Galileo AI

Stage 2: Autonomous Software Development with AI SDLC Assistants & Spec-driven Development (16 Hours)

Module 6: Deep-dive – AI Coding Assistants

Concepts in Claude Code – Features, Good practices
Concepts in OpenAI Codex – Features, Good Practices
How Codex and Claude Code use memory, tools, skills, and harnesses

Hands-On Activities / Labs

Spec-driven development (SDD) with GitHub SpecKit
Integrating GitHub MCP Server and performing tasks with GitHub Copilot Agent Mode
Full-stack app development with Claude Code, Codex for code reviews

Module 7: Developing with AI Coding Assistants

Developing software applications, AI Agents, and RAG apps with Claude Code & OpenAI Codex
Developing ML, RAG, and AI Agent apps with Claude Code & OpenAI Codex
Spec Driven Development with GitHub Copilot / Claude Code / Codex with demos
BMAD (Breakthrough Method for Agile AI-Driven Development) with demo
Setting up the MCP Server & integrating with Claude Code and OpenAI Codex
Using Agent Skills, Agents.md plugins in Claude Code
Usage & productivity metrics – Showing value from AI Coding Assistants

Hands-On Activities / Labs

Multi-agent system with Codex, Claude Code for coding workflows

Module 8: Agents across SDLC stages

Application of AI Agents in Software Architecture, Design, and Requirements Analysis
Application of AI Agents in Software Testing with Examples
Application of AI Agents in DevOps / Deployment with examples
Application of AI Agents in Observability / Application Monitoring
Application of AI Agents in Incident Management / RCA & Resolution
Quiz and Q&A

Stage 3: Well-Architected AI (4 Hours)

Module 9: Well-Architected AI

Well-architected principles applied to AI Agents
Agentic AI Architectures – Current practices & emerging trends
Multi-agent collaboration – Strategies for agent communications

Stage 4: AI Infrastructure (4 Hours)

Module 10: AI Infrastructure

Emerging Trends in AI Infrastructure
On-premise AI Infrastructure – Apple Mac Minis / Mac Studio, AMD & NVIDIA stack
Local development with Ollama
Deploying & scaling Agents and MCP Servers on AWS, GCP, Azure

Stage 5: Selling & Delivering AI Products & Solutions (4 Hours)

Module 11: Selling & delivering AI Products & Solutions

AI Consulting mindset
Business AI Frameworks
Finding AI opportunities / Use case discovery
Key AI Services & converting opportunities
Pilots & implementations
Post-production operations & ROI calculation

Stage 6: Capstone Project Discussion & Skills Interview (4 Hours)

Module 12: Capstone project discussion & skills interview

3 capstone projects per cohort – Review and discussion
Skills interview and feedback session

Stage 7 - AI Coaching

Monthly support & new AI tech & use case immersion
6 months, 50 hours of availability per month

Course Curriculum

Forward Deployed Architect Program

Download Curriculum

Module 1: Overview of Generative AI and LLMs (4 Hrs)

Artificial Intelligence and Machine Learning
Key types of Machine Learning- Supervised & Unsupervised Learning
Basics of Deep Neural Network
Natural Language Processing & Generative AI
Overview of LLMs & Multimodal LLMs
Demo - Solving ML, NLP Problems using LLMs

Hands-On Activities / Labs

Multimodal Embedding
Subword tokenization

Module 2: Working with Retrieval Augmented Generation (6 hours)

Concept of Retrieval Augmented Generation (RAG) with 2 real-life examples
Data pipeline for RAG
Demo/ Code walkthrough- Naïve RAG
Breakout Room Activity- Understanding code/ flow of an E2E RAG pipeline
Business use cases of RAG Apps across Industries and Horizontals/ Functions, including Vertical AI Agents
Chunking Strategies
Creating Vector embeddings and storing them in a Vector database, with examples
Retrieval Mechanics & Similarity/ Vector search techniques
Langchain for RAG Development
Techniques for improving RAG accuracy, Reranking, chunk optimization, and others
Langflow for low-code, no-code visual modeling-based RAG development
Lab: Building RAG Data ingestion, indexing, retrieval, and generation pipeline
Advanced RAG techniques- Agentic RAG, GraphRAG, Multimodal RAG

Hands-On Activities / Labs

Agentic RAG
Multimodal RAG
Graph RAG
RAG Evaluation

Module 3: AI Agents & MCP Servers- Deepdive (20 hours)

Overview of AI Agents/ Agentic AI & role of LLMs/ SLMs
Tool use/ function calling
MCP Servers - connecting AI Agents to 3rd party apps
MCP Client & MCP Host
Business use cases of AI Agents across Industries and Horizontals/ Functions, including Vertical AI Agents
Technical use cases of AI Agents (in SDLC automation)
MCP Server Security
Step-by-step - Designing an AI Agent
Building Agent with tools & MCP Server - Google ADK, AWS Strands SDK, Langgraph
Advanced Context Engineering for Agents
Agentic Memory - Long-term, short-term, with demos
Agents controlling browser, keystrokes, and mouse clicks/ computer control with demos (short)
Deep Agents- working with complex, long-running tasks
AI Agent Building Tools- Code-based and low-code, no-code
AI Agent/ Agentic AI Pricing models & how they are disruptive to existing SAAS models
Breakout Room Activity: Building use case and specs for an AI Agent
Multi-agent systems
Quiz and Q&A

Module 4: Building & integrating AI Agents- Technical Deepdive (38 hours)

Demo- Building a Multi-agent system with Langgraph
Demo- Building a custom MCP Server with FastMCP
Demo- Building an AI Agent with AWS Strands SDK
Demo- Building an AI Agent with Langflow
LLM/SLM selection for AI Agents/ Agentic AI
Demo: Reflection in AI Agents
Building multi-agent systems
Google Agent2Agent (A2A) Protocol for multi-agent collaboration with demo
Demo: Multi-agent collaboration
Agentic RAG
Agent Skills and Agents.md
Designing and building Agent UI-UX / Conversational experiences - Good practices, frameworks & tooling
Agent Harness
Different ways of training Agents on custom enterprise data
Breakout Room Activities - Technical Design of an AI Agent
Quiz and Q&A

Hands-On Activities / Labs

Build a multi-agent system with Langgraph (Select domain use cases)
Build a multi-agent system with AWS Strands SDK
Build a multi-agent system with Langflow (Select domain use cases)
Context Engineering- 3 labs
Agentic Memory- 2 labs
Reflection in AI Agents
Multi-agent collaboration with A2A protocol
Agent Skills (Select domain use cases)
Agents.md (Select domain use cases)
Use GitHub Copilot Agent mode & connect with GitHub MCP Server
Build an AI Agent with MCP Server Integration
Agent Harness

Module 5: Production deployment of AI Agents

Responsible AI and AI Governance for Agents (Databricks AI Governance Fwk, ISO42001, NIST RMF)
Agent Evaluation
Select customer case studies on Agent and RAG Evaluation
Agent Security (Agent identity, Threat modeling, OWASP Top 10, Red teaming)
Agent deployment & scaling options on AWS Bedrock, Azure AI Foundry, Google Enterprise Agent platform
Post-production considerations for AI Agents
Demo - Guardailing LLM/ Agent
Building well-architected agents/ Architectural perspectives
How to optimize Agent cost/how to build solutions with token constraints
Quiz and Q&A

Hands-On Activities / Labs

LLM-as-a-judge for Agent Evaluation
Agent Evaluation with Galileo AI

Module 6: Deep-dive – AI Coding Assistants

Concepts in Claude Code – Features, Good practices
Concepts in OpenAI Codex – Features, Good Practices
How Codex and Claude Code use memory, tools, skills, and harnesses

Hands-On Activities / Labs

Spec-driven development (SDD) with GitHub SpecKit
Integrating GitHub MCP Server and performing tasks with GitHub Copilot Agent Mode
Full-stack app development with Claude Code, Codex for code reviews

Module 7: Developing with AI Coding Assistants

Developing software applications, AI Agents, and RAG apps with Claude Code & OpenAI Codex
Developing ML, RAG, and AI Agent apps with Claude Code & OpenAI Codex
Spec Driven Development with GitHub Copilot / Claude Code / Codex with demos
BMAD (Breakthrough Method for Agile AI-Driven Development) with demo
Setting up the MCP Server & integrating with Claude Code and OpenAI Codex
Using Agent Skills, Agents.md plugins in Claude Code
Usage & productivity metrics – Showing value from AI Coding Assistants

Hands-On Activities / Labs

Multi-agent system with Codex, Claude Code for coding workflows

Module 8: Agents across SDLC stages

Application of AI Agents in Software Architecture, Design, and Requirements Analysis
Application of AI Agents in Software Testing with Examples
Application of AI Agents in DevOps / Deployment with examples
Application of AI Agents in Observability / Application Monitoring
Application of AI Agents in Incident Management / RCA & Resolution
Quiz and Q&A

Module 9: Well-Architected AI

Well-architected principles applied to AI Agents
Agentic AI Architectures – Current practices & emerging trends
Multi-agent collaboration – Strategies for agent communications

Module 10: AI Infrastructure

Emerging Trends in AI Infrastructure
On-premise AI Infrastructure – Apple Mac Minis / Mac Studio, AMD & NVIDIA stack
Local development with Ollama
Deploying & scaling Agents and MCP Servers on AWS, GCP, Azure

Module 11: Selling & delivering AI Products & Solutions

AI Consulting mindset
Business AI Frameworks
Finding AI opportunities / Use case discovery
Key AI Services & converting opportunities
Pilots & implementations
Post-production operations & ROI calculation

Module 12: Capstone project discussion & skills interview

3 capstone projects per cohort – Review and discussion
Skills interview and feedback session

Monthly support & new AI tech & use case immersion
6 months, 50 hours of availability per month

Download Curriculum

Have more questions or need

personalized guidance?

Contact Learning Advisor

What you will learn in this Forward Deployed Architect Program workshop

What are the Learning Objectives of the Forward Deployed Architect Program

Agentic Systems

Understand core generative AI architectures, multimodal embeddings, long-term memory, and multi-agent system design principles.

Server Integration

Master Model Context Protocol to seamlessly connect autonomous agents with external enterprise applications and tools.

Software Development

Leverage advanced coding assistants for spec-driven engineering, automated testing, and full-stack application development.

DevOps Automation

Deploy intelligence agents across production lifecycle environments, including continuous monitoring and proactive incident resolution.

System Evaluation

Implement robust assessment frameworks like LLM-as-a-judge to measure accuracy, latency, and agentic response quality.

Enterprise Governance

Apply secure operational guardrails using Databricks frameworks, ISO42001 standards, and comprehensive threat modeling techniques.

Infrastructure Deployment

Scale local Ollama instances alongside enterprise cloud architectures on AWS Bedrock, Azure, and Google platforms.

Value Delivery

Find out high-impact business opportunities, compute product ROI, and drive end-to-end consulting delivery strategies.

Forward Deployed Architect Program Certification Course For Corporates

Why Corporate Choose Us for the Forward Deployed Architect Program?

At Simpliaxis, we design the Forward Deployed Architect Program to help organizations build teams capable of developing and deploying enterprise-ready AI solutions with practical, hands-on experience aligned to real business needs.

Our training is fully customized for corporate teams and aligned with enterprise workflows, AI adoption strategies, and real-world use cases.
We focus on bridging the gap between AI concepts and production-ready implementation, helping teams build scalable agentic AI systems and enterprise solutions.
Trusted by global organizations adopting AI agents, multi-agent systems, and enterprise RAG architectures.
Expert trainers provide hands-on learning through real-world projects, interactive labs, and practical sessions.
Flexible corporate training models with group pricing and scalable upskilling options for teams of all sizes.

Corporate Group enquiry

Our Customer words for us

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Meet the Team That's Invested in Your Success

Our Forward Deployed Architect Program Trainers

Instructors

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Aakash Srinivasan, CST
4.8
Experience: 15+ Years
Certified Scrum Master (CSM®), Certified Scrum Product Owner (CSPO®)
Aakash Srinivasan is an experienced Agile transformation leader and a co-founder of SimpliAxis Inc., an Agile training and coaching service company (www.simpliaxis.com) based in Seattle, Washington.
Michel Goldenberg, CST
4.8
Experience: 21+ Years
Certified Scrum Master (CSM®), Advanced Certified Scrum Master (ACSM®)...
Michel Started working with Agile in 2001 when he first used eXtreme Programming as a team member in a very complex project in Brazil, since that project Michel decided to focus his career in coaching and training in Agile. Some people like to call him a nomad because he is always working world wide and moving from country to country to always find the most challenging market so he can always improve in Agile by helping people learn and apply it. During his journey Michel became Certified Scrum Trainer (2009), a TAC member (2017) and Path to CSP educator (2019), and now his main focus is to deliver Certified Training under Scrum Alliance brand.
Raj Kasturi, CST
4.8
Experience: 28+ Years
CSM
Raj is an experienced Scrum Trainer, Scrum Master, Agile Coach helping organizations transition to Scrum
Abid Quereshi, CST
4.8
Experience: 25+ Years
Certified Scrum Master (CSM®), Advanced Certified Scrum Master (ACSM®)...
"Learn Scrum and Agile Software Development from an actual software developer. Abid has been developing real software products for over 26 years, from inception to design, coding, testing and maintaining legacy systems. Abid holds a Bachelor's degree in Education and a Bachelor's degree in Mechatronics Engineering. As a professional teacher and engineer you an count on an experience which is both immersive and relevant to todays workplace challenges."
Vivek Angiras, CST
4.8
Experience: 15+ Years
Certified Scrum Master (CSM®), Certified Scrum Product Owner (CSPO®)...
Vivek Angiras is an Agile coach and trainer. He is a Certified Scrum Trainer (CST) who started his career in scientific research more than a decade ago. Vivek is a co-founder of SimpliAxis Inc.
Bill Li
4.8
Experience: 23+ Years
CSM, CSPO and A-CSM
Bill Li, CST (Certified Scrum Trainer) and Agile Coach, based out in Shanghai & Vancouver, and active in China, Asia and Canada, Managing Principal of UPerform Consulting Group. With over 25 years of cross-functional experiences in IT and consulting sectors, Bill is among the pioneers who promoted Scrum and Agile since 2007 in Asia, and is active contributor and speaker at agile community, including major Scrum and Agile conferences. Bill enjoys developing people and organizations through high quality Scrum and Agile training, coaching and consulting services. His passion lies in helping clients’ product development organizations and teams to become more effective, having less waste and fewer impediments in their processes, less pressure, higher enjoyment, and producing better product and services, in an open, transparent, creative, and self-organized environment. Bill translated Agile Project Management with Scrum by Ken Schwaber into simplified Chinese and published it in 2007. He also co-translated Ken's next book on Scrum & Enterprise and Mike Cohn’s User Stories Applied, together with other 2 titles in Project Management area. Bill is MBA from Schulich School of Business, York University, and Bachelor of Engineering from South China University of Technology. He lives in Shanghai, China and seasonally in North Vancouver, BC, Canada.

Aakash Srinivasan, CST
Certified Scrum Master (CSM®), Certified Scrum Product Owner (CSPO®)
15+ Years of experience
Aakash Srinivasan is an experienced Agile transformation leader and a co-founder of SimpliAxis Inc., an Agile training and coaching service company (www.simpliaxis.com) based in Seattle, Washington.
Linkedin Profile
1/6
Michel Goldenberg, CST
Certified Scrum Master (CSM®), Advanced Certified Scrum Master (ACSM®)
21+ Years of experience
Michel Started working with Agile in 2001 when he first used eXtreme Programming as a team member in a very complex project in Brazil, since that project Michel decided to focus his career in coaching and training in Agile. Some people like to call him a nomad because he is always working world wide and moving from country to country to always find the most challenging market so he can always improve in Agile by helping people learn and apply it. During his journey Michel became Certified Scrum Trainer (2009), a TAC member (2017) and Path to CSP educator (2019), and now his main focus is to deliver Certified Training under Scrum Alliance brand.
Linkedin Profile
2/6
Raj Kasturi, CST
CSM
28+ Years of experience
Raj is an experienced Scrum Trainer, Scrum Master, Agile Coach helping organizations transition to Scrum
Linkedin Profile
3/6
Abid Quereshi, CST
Certified Scrum Master (CSM®), Advanced Certified Scrum Master (ACSM®)
25+ Years of experience
"Learn Scrum and Agile Software Development from an actual software developer. Abid has been developing real software products for over 26 years, from inception to design, coding, testing and maintaining legacy systems. Abid holds a Bachelor's degree in Education and a Bachelor's degree in Mechatronics Engineering. As a professional teacher and engineer you an count on an experience which is both immersive and relevant to todays workplace challenges."
Linkedin Profile
4/6
Vivek Angiras, CST
Certified Scrum Master (CSM®), Certified Scrum Product Owner (CSPO®)
15+ Years of experience
Vivek Angiras is an Agile coach and trainer. He is a Certified Scrum Trainer (CST) who started his career in scientific research more than a decade ago. Vivek is a co-founder of SimpliAxis Inc.
Linkedin Profile
5/6
Bill Li
CSM, CSPO and A-CSM
23+ Years of experience
Bill Li, CST (Certified Scrum Trainer) and Agile Coach, based out in Shanghai & Vancouver, and active in China, Asia and Canada, Managing Principal of UPerform Consulting Group. With over 25 years of cross-functional experiences in IT and consulting sectors, Bill is among the pioneers who promoted Scrum and Agile since 2007 in Asia, and is active contributor and speaker at agile community, including major Scrum and Agile conferences. Bill enjoys developing people and organizations through high quality Scrum and Agile training, coaching and consulting services. His passion lies in helping clients’ product development organizations and teams to become more effective, having less waste and fewer impediments in their processes, less pressure, higher enjoyment, and producing better product and services, in an open, transparent, creative, and self-organized environment. Bill translated Agile Project Management with Scrum by Ken Schwaber into simplified Chinese and published it in 2007. He also co-translated Ken's next book on Scrum & Enterprise and Mike Cohn’s User Stories Applied, together with other 2 titles in Project Management area. Bill is MBA from Schulich School of Business, York University, and Bachelor of Engineering from South China University of Technology. He lives in Shanghai, China and seasonally in North Vancouver, BC, Canada.
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What Is a Forward Deployed Architect Program?

A Forward Deployed Architect Program is a specialized training program by Simpliaxis that prepares professionals to design, build, deploy, and deliver AI solutions using technologies such as LLMs, AI Agents, RAG, multi-agent systems, and enterprise AI platforms while working closely with business and technical teams.

Who Should Join the Forward Deployed Architect Training Program?

This program is designed for AI Engineers, Solution Architects, Technical Leads, Product Managers, Consultants, Developers, and enterprise teams looking to build Agentic AI and AI solution delivery capabilities.

What Skills Will You Learn in This Program?

Participants learn LLMs, RAG, AI Agents, MCP Servers, multi-agent systems, AI coding assistants, AI architecture, deployment, governance, and enterprise AI implementation.

Is This Program Focused Only on Theory or Hands-On Implementation?

The program is hands-on focused with labs, demos, capstones, multi-agent builds, MCP integrations, and real-world AI implementation activities.

What Tools, SDKs, and Frameworks Are Covered in the Program?

The program includes Claude, OpenAI, Gemini, LangGraph, LangFlow, AWS Strands SDK, Google ADK, GitHub Copilot, Codex, MCP, A2A, Bedrock, Azure AI Foundry, and Databricks.

Does the Program Include Enterprise AI Architecture and Deployment Topics?

Yes. Participants learn AI architecture, governance, security, evaluation, scaling, cloud deployment, and well-architected AI practices

Does This Program Contain Practical Enterprise Use Cases and Projects?

Yes. The program includes industry use cases, capstone projects, implementation scenarios, and enterprise solution design exercises.

What Type of Post-Training Support Is Available After Course Completion?

The program includes Stage 7 AI Coaching with 6 months of support and 50 hours of availability per month.

How Are Participants Assessed During the Program?

Assessment includes hands-on labs, breakout activities, capstone projects, interviews, demos, and post-assessment evaluations.

What Business Outcomes Can Enterprise Clients Expect From This Program?

Organizations can build capabilities in AI transformation, Agentic AI implementation, AI solution delivery, productivity acceleration, and enterprise AI adoption.

Will Participants Build AI Agents and RAG Applications During the Program?

Yes. Participants work on AI Agents, Agentic RAG, GraphRAG, Multimodal RAG, MCP integrations, and multi-agent systems as part of the hands-on curriculum.

How Long Does the Forward Deployed Architect Program Take?

The program includes 7 learning stages delivered over approximately 10 days, followed by 6 months of AI coaching support with 50 hours of availability per month.

What Career Opportunities Are Available After Completing the Program?

Participants can attain roles such as Forward Deployed Architect, AI Solutions Architect, Agentic AI Engineer, AI Consultant, AI Product Lead, Solution Engineer, and Enterprise AI Architect.

What Makes a Forward-Deployed Architect Different From a Solution Architect?

A Forward Deployed Architect combines architecture, implementation, customer engagement, AI solution delivery, and hands-on development, while a Solution Architect mainly focuses on system design and architecture planning.

Are Forward Deployed Architect and Forward Deployed Engineer the same role?

No. They are related but not in the same role. A Forward Deployed Engineer (FDE) mainly focuses on hands-on implementation, integration, coding, deployment, and solving customer technical problems, while a Forward Deployed Architect (FDA) focuses more on solution architecture, system design, customer strategy, technical leadership, and guiding implementations.

Why is this Forward Deployed Architect role so popular right now?

The Forward Deployed Architect role is gaining popularity because organizations are rapidly adopting AI, Agentic AI, LLMs, and enterprise automation solutions, and need professionals who can bridge business goals with hands-on implementation.

Companies need experts who can design solutions, work directly with customers, build AI systems, and drive deployments, making this role highly valuable across AI transformation initiatives.

How do organizations hire Forward Deployed Architect (FDA) roles?

Organizations typically hire Forward Deployed Architects by evaluating a mix of technical, architecture, problem-solving, and customer-facing skills.

Through Technical assessment, System design interviews, Demo/project reviews, and behavioral interviews, decide the fitness of the role.

How can Software Engineers (SWE) transition into a Forward Deployed Architect (FDA) role?

Software Engineers can transition to an FDA role by expanding beyond coding and building skills in solution architecture, customer interaction, AI implementation, system design, consulting, and business problem-solving.

What happens to my token or partial payment if I don’t enroll immediately?

Token or partial payments will become non-refundable after 15 days from the date of payment.
Any token or partial amount paid can be applied towards enrollment for any available sessions on our website within 6 months of the payment date.

Is there a preferred currency for payment, especially for international students?

While we accept payments in various currencies, we recommend using the currency from where you want to attend the course.

Can payments be made online through your website, or do I need to visit a physical location?

Payments can be made conveniently through our secure online payment portal on our website. We do not require visiting a physical location for payment.

Do you offer any discounts or promotions for early payment?

Yes, we offer discounts and promotions for early payments or certain corporate Training. Keep an eye on our website or contact us to get exciting offers.

Can I pay for the course in installments, or is full payment required upfront?

You have the flexibility to pay for the course either in full upfront or in installments, depending on your preference. To know more details about it contact us.

Will I get a refund if I cancel my enrollment?

No, refund is not possible. You can reschedule your course. To know more about refunds, visit our Refund Policy.

Where will I get my payment receipt?

Upon successful completion of payment, you will receive a confirmation email of your payment along with payment invoices.

Is there any transaction or processing fee?

No, there is no transaction processing fee.

What cards do you accept?

We accept payments from VISA, Master, Maestro, AMEX, and Discover.

What payment options are available?

All types of payment methods are available. You can pay Online through Credit Cards, Debit Cards and Net Banking, Direct Bank Transfer/Wire Transfer/Wallet to our account and many more.Other payment options available are stripe, Splitit, PayPal for US & CA regions.

What if I miss a class? Are there any money back options?

No, you won't get your money back. But, as per your convenience, we can reschedule your training without any extra charges.

If I want to know more about Training, whom should I connect with?

If you want to know more about the course you can connect us in mail hello@simpliaxis.com or you can call us.

Is there any option to complete the Training in the native language if a participant chooses to?

English is the preferred language for training delivery. For corporate Training, any language other than English will have to be requested as a custom service. However, this will be subject to additional costs and the availability of a native language trainer. Please note that only official languages will be considered for this request.

Can I receive personalized Training at my convenience?

Yes, we’ll be posting multiple schedules every week for all the courses. Based on your convenience, you can select the training schedule. Also, we’ve E-Learning programs for popular courses, you can enroll and watch the training modules whenever you want.

Where do I find the upcoming schedules of my course?

Select the course of your interest from the website and view all the upcoming workshop schedules. You can select your course from the website https://www.simpliaxis.com/

After enrollment, can I change the date of my training class?

Yes, you can change the date, but you have to inform it 3-4 days before the Scheduled date.

Do I get any certificate upon completion of the course?

Yes, you will receive a certificate after successful completion of the training course.

How do I enroll in the training course?

Choose the course of your interest, schedule it at your convenience from our upcoming schedule list, and register for the training by submitting your details. Proceed to make a payment and you will receive a confirmation email of your course enrolment. Or you can connect our career advisors to consult & choose your course.

What are the different courses offered by Simpliaxis?

At Simpliaxis we provide training for courses of all the in-demand technologies. One can choose a course from Project Management, Agile, IT, DevOps, Business, IT Service Management, Quality Management, etc based on their choice of interest. To know more, please visit https://www.simpliaxis.com/

What are the different modes of Training available for Simpliaxis courses?

We provide different modes of Training: virtual Online Training, Live Virtual Training, Corporate Training & also E-learning.

Do you offer online Training?

Yes, For every course, online Training is available.

Do you offer corporate Training?

Yes, we do provide corporate Training. We customize Training based on our clients' needs.

Who are the instructors of my course?

All our trainers are highly qualified and certified, having numerous years of experience in the training industry. You can choose your instructors for your course.

Is there any discount available for the Simpliaxis courses?

Yes, we do provide discounts on multiple courses. Please visit the schedules page to view the available discounts.

Whom do I contact if I have more queries regarding my course?

You can reach out to our experienced career counselor
or email us on support@simpliaxis.com
or contact any of our phone numbers
or you can chat with us anytime
or visit our contact us page https://www.simpliaxis.com/contact-us

Are your courses affordable?

Yes, course fees for all technologies are affordable. Along with that, we do provide discounts on various courses.

Why should I choose Simpliaxis?

Simpliaxis offers personalized corporate training programs designed for enterprise teams seeking to refine their employees' skills in various job processes or roles, whether through in-person sessions or live virtual instruction. Led by our skilled and certified trainers, these certification programs not only elevate learning curves but also empower teams to effectively apply their newfound skills to meet industry benchmarks. With over 40 certification programs available, the impact is profound, evident in a remarkable 45% improvement in employee retention rates. On average, there's been a notable 30% enhancement in both work satisfaction and capabilities, showcasing the tangible benefits of our training initiatives.

What is the object of Simpliaxis?

To provide high-quality training and help our professional participants & clients to build a high-performing workforce.

How much discount will I get if I enroll for the Training?

It totally depends upon the course. Please check our website regularly for new offers and discounts throughout the year. You can also chat with one of our career consultants to see if any discounts are available.

Forward Deployed Architect Program Course FAQs

Frequently Asked Questions