Forward Deployed Engineer (FDE) Salesforce – Live Training
(Salesforce FDE Mindset, Architecture & Data Model, Flow & Development, Agentforce, Data 360, Prompt Engineering, RAG, Context Engineering, MCP, AI Testing, Integrations, Voice & Telephony, DevOps, Cost Management, POCs & Hands-on Projects)
Forward Deployed Engineer (FDE) Salesforce – Live Training is a hands-on program designed to build practical Salesforce FDE skills across Salesforce Architecture, Data 360, Agentforce, Generative AI, RAG, Prompt Engineering, AI Grounding, MCP, Integrations, DevOps, Voice & Telephony, and solution design.
Starting with the Salesforce FDE mindset, data model, security, Flow, development, and POC methodology, the course progresses into end-to-end Agentforce development, including agentic architecture, Prompt Builder, grounding, actions, Agent Scripts, testing, evaluation, monitoring, and advanced agent customization. Learners also work with Data 360/Data Cloud, identity resolution, data ingestion, transformations, intelligent context, RAG, context engineering, retrieval strategies, and AI-driven solutions.
The program includes practical sessions covering Agentforce pricing and consumption, Flex Credits, token usage, cost management, Slack, MCP, DevOps, CI/CD, Voice and Telephony, along with hands-on business use cases such as Smart Quote Processing, Voice-to-Text, Document Classification, and Document Triangulation. The course concludes with the Salesforce FDE Ready Pathway, badges, certification process, and professional development, giving learners an end-to-end view of designing, building, testing, deploying, and presenting Salesforce solutions.
About the Instructor:
| Shailesh Agrawal is an experienced Salesforce, Agentforce, Data Cloud, and AI technology professional with 10+ years of industry experience in designing, developing, and deploying enterprise-grade technology solutions. He is a Salesforce Partner FDE, building Agentic AI solutions and working with multiple international clients, with 7x Salesforce and AI certifications. He is also an Agentforce Legend and works as a Salesforce Technical Architect specializing in building enterprise autonomous AI agents and custom Apex/LWC solutions. With expertise across Salesforce FDE, Agentforce, Data 360, Apex, LWC, Flow, Salesforce Automation, Prompt Builder, RAG, LLMs, and Agentic AI, he brings a strong combination of technical expertise and practical implementation experience.
He has also worked extensively across Sales Cloud, Service Cloud, Experience Cloud, Financial Services Cloud (FSC), Loyalty Management, Salesforce Marketing Cloud (SFMC), and Salesforce CPQ, along with strong expertise in DevOps tools such as Copado, GitHub, Jenkins, and Bitbucket. Shailesh has successfully delivered end-to-end projects as an all-rounder, contributing across development, configuration, testing, deployment, and other project activities. He has effectively leveraged AI tools to accelerate development, improve delivery efficiency, and streamline project execution, enabling projects to be completed ahead of schedule. In recognition of his effective adoption and application of AI, he was also recognized as an AI Expert by his firm. Shailesh has trained 300+ students and working professionals, helping learners develop practical skills through hands-on exercises, real-time scenarios, and industry-oriented projects. His training covers the complete Salesforce and Agentic AI ecosystem, including Agentforce architecture and lifecycle, Data Cloud implementation, prompt engineering, context engineering, MCP, RAG, AI agents, Slack and telephony integrations, Salesforce DX, DevOps, CI/CD, testing, evaluation, deployment, monitoring, and cost optimization. His practical approach enables learners to understand how to design, implement, test, deploy, and manage enterprise Salesforce and AI solutions. |
Sample videos:
Forward Deployed Engineer (FDE) Salesforce – Live Training Demo
Forward Deployed Engineer (FDE) Salesforce – Live Training Day1
Live Sessions Price:
For LIVE sessions – Offer price after discount is 200 USD 159 119 USD Or USD15000 INR13000 INR 9900 Rupees
OR
Free Day3 On:
Indian Timings: 2nd October @ 9 PM – 10 PM (IST)/
U.S Timings: 2nd October @ 11:30 AM – 12:30 PM (EST)/
U.K Timings: 2nd October @ 4:30 PM – 5:30 PM (BST)
Class Schedule:
For Participants in India: Monday to Friday @ 9 PM – 10 PM (IST)/
For Participants in the US: Monday to Friday @ 11:30 AM – 12:30 PM (EST)/
For Participants in the UK: Monday to Friday @ 4:30 PM – 5:30 PM (BST)
Payment Options
Pay securely via QR scan or direct bank transfer.
Once your payment is completed, please send your payment screenshot, full name, and WhatsApp number to +91 9063292427 via WhatsApp to confirm your enrollment.
Pay via Google Pay or Phonepe using : +91 9133190573 (For Indian accounts only)
Pay via Razorpay (For Indian accounts only)
🌎 Pay via PayPal (For international accounts only)
Students based in the USA and other international locations can pay securely via PayPal using the button below.
Pay via Razorpay (For international accounts only)
What Our Students Say About the Trainer:
| The trainer explains Salesforce FDE concepts in a very simple and structured way. The sessions on Salesforce architecture, data model, Flow, Agentforce, and solution design were easy to understand. Even the advanced topics were explained with practical examples. – Harry
I really enjoyed the Salesforce FDE training sessions. The trainer explained Agentforce, Prompt Builder, AI grounding, and agent architecture clearly and patiently. The practical examples and hands-on exercises helped me understand how these technologies can be applied to real business requirements. – Swati The training was very informative and practical. I particularly liked the sessions on Data 360, data ingestion, data unification, identity resolution, RAG, and Prompt Engineering. The trainer explained both fundamental and advanced concepts clearly, and the real-time use cases made the sessions more interesting. – Vijay The trainer has excellent practical knowledge of Salesforce FDE and Agentforce. Concepts such as POC development, Agentforce Builder, actions, Agent Scripts, testing, monitoring, and solution design were explained in a simple and structured way. The hands-on business use cases helped me gain more confidence in applying the concepts. – Sara The training was very practical and easy to follow. The trainer explained complex topics such as RAG, context engineering, MCP, AI testing, Agentforce integrations, and cost management step by step. The sessions also gave me a better understanding of how to design and deploy Salesforce AI solutions. – Matthew |
Who can enroll for this course:
- Salesforce Developers & Administrators looking to advance their skills in Salesforce FDE, Agentforce, Data 360, and solution development
- Salesforce Consultants & Solution Architects working on customer requirements, enterprise architecture, POCs, and end-to-end Salesforce solutions
- Salesforce Professionals who want practical knowledge of Agentforce, Generative AI, Prompt Engineering, RAG, Grounding, and Guardrails
- FDE Aspirants & Salesforce Engineers looking to develop business-to-technology solution skills, POC/MVP development, and customer-focused delivery
- Software Engineers & Developers interested in Salesforce-based AI applications, integrations, APIs, and production-ready solutions
- Data & AI Professionals interested in Data 360, data ingestion, identity resolution, intelligent context, RAG, and AI-powered solutions
- Integration & DevOps Professionals who want to learn Salesforce integrations, DX, source control, CI/CD, deployment, Voice, and Telephony integration
- Experienced IT Professionals transitioning into Salesforce FDE roles and seeking hands-on experience with real-world Agentforce use cases and solution delivery
Salient Features:
- 40+ Hours of Live Training along with recorded videos
- 1 Year Access to Session Recordings
- Course Completion Certificate
What will I learn by the end of this course?
- Understand the Salesforce FDE mindset, ecosystem, architecture, data model, security, Flow, and solution development fundamentals
- Design and deliver Salesforce POCs and MVPs by translating business requirements into practical technical solutions
- Build and configure Agentforce agents, including topics, instructions, actions, tools, Agent Scripts, Builder, and agentic architecture
- Master Prompt Builder, Prompt Engineering, AI Grounding, Context Engineering, RAG, retrieval strategies, and AI guardrails
- Implement Data 360/Data Cloud concepts including data ingestion, data unification, identity resolution, data transformations, DLO/DMO, and intelligent customer context
- Develop skills in Agentforce testing, evaluation, hallucination testing, monitoring, success metrics, and user acceptance testing
- Understand Agentforce integrations, MCP, Slack, APIs, Voice & Telephony, Salesforce DX, source control, and CI/CD deployment
- Apply Agentforce pricing, Flex Credits, token usage, consumption tracking, and cost-management strategies to real-world solutions
- Build practical Salesforce AI solutions through hands-on use cases such as Smart Quote Processing, Voice-to-Text, Document Classification, and Document Triangulation
- Prepare for the Salesforce FDE pathway, badges, certifications, and professional development with an end-to-end understanding of FDE solution delivery
Course Syllabus:
Module 1 — FDE Overview, DC Overview and SF Fundamentals
Day 1: Introduction to Salesforce FDE & Ecosystem Overview
- Role Overview, Market demand, Certifications roadmap
- Market demand
- Certifications roadmap
Day 2: Salesforce Data Model & Security Fundamentals
- Objects, Fields, Sharing, Security Best Practices
- Fields
- Sharing
- Security Best Practices
Day 3: Declarative Development in Salesforce
- Flow
- Process Builder
- Apex and LWC
- Automation fundamentals
- building solution
Module 2 — Agentforce End to End
Day 4:Introduction to Agentblazer Champion 2026 (Level 1)
- AI and Agentforce fundamentals
- Data Cloud & Governance overview
- Build first agent
Day 5: Agentforce Lifecycle & Salesforce Agentic Architecture
- Atlas reasoning
- Architecture deep dive
- prompt best practices
Day 6: Proof-of-Concept & MVP Development
- Move projects from sketches to deployable MVPs rapidly
Day 7: Our Approach to Proof of Concept (POC)
- Methodology to deliver quick, effective POCs on Salesforce platform
- effective POCs on Salesforce platform
Day 8: Agentblazer Innovator 2026 (Level 2)
- Business Use Case identification
- Build Sales/Service Agents
- Configure Agentforce Service & Sales
Day 9: Agentforce Care Plan & Use Case Prioritization
- Support Planning
- Prioritize Agentforce Use Cases
Day 10: Agentforce Package & Metadata Deployment Insights
- Deployment Best Practices
- Package Management
Day 11: Prompt Builder Deep Dive
- Prompt Template Selection
- Grounding Data
- Prompt Testing
- Performance Metrics
Day 12: Designing Agent Intelligence
- Prompts and Reasoning
- Tool Calls
- Integration Using Agentic AI PlatformLLM Techniques
Day 13: Lightning Type Development – Practical Session
- Build Lightning Types
- Develop LWC Components
- Develop Apex Components
Day 14: Agentforce Script & AF Builder Best Practices (Session 1)
- Script Writing
- Agentforce Builder Usage
Day 15: Agentforce Script & AF Builder Best Practices (Session 2)
- Advanced Scripting
- Troubleshooting
Day 16: Agent Testing & Evaluation
- Conversation Testing
- Hallucination Testing
- Success Metrics
- User Acceptance Testing
- Agent Monitoring
Module 3 — Data Cloud End to End
Day 17: Data Cloud Implementation Expert (Partner Learning Camp)
- Perform Data 360 ImplementationIngest and
- Unify Data
- Query Data
- Cost & Pricing Overview
Day 18 : Enterprise Data Platforms Overview
- Salesforce Data Cloud
- Snowflake
- IntroductionIntegration Basics
Day 19: Data Cloud End-to-End Process
- Data Transforms
- CI Pipelines
Day 20: Data Ingestion Strategies: Connectors & Data Streams
- Streaming Ingestion
- Batch Ingestion
- Retention Policies
Day 21: Data Modeling Concepts: Identity Resolution & Canonical Models
- Data Unification Best Practices
- Identity Resolution
- Canonical Models
Day 22: Calculated Insights & Serving Layer Architecture
- Data Transformation
- Query API Usage
Day 23: Data 360 Intelligent Context
- Unified Customer Profile Insights
- AI-Enabled Context
Module 4 — Agentforce Advanced
Day 24: Agentblazer Legend 2026 (Level 3)
- Full Agent Lifecycle Management
- Advanced Customizations
- Agentforce Specialist Certification Preparation
Day 25: Agentforce Advanced – Agentscript & Deployment
- Writing Agent Script Workflows
- Variables and Topic Transitions
- Deploying Agents on Experience Cloud
Day 26: MCP Intro & Basics
- Managed Cloud Platform Fundamentals
- Integration with Claude and ChatGPT
Day 27: Slack Integration with Agentforce & Licensing
- Setup of Slack Integration
- Slack Integration Usage
- Licensing Overview
Day 28: Retrieval-Augmented Generation (RAG) – Quick Look
- Introduction to RAG
- Architecture
- Benefits of OKF Understanding
Day 29: Advanced Prompt Engineering Skills
- Writing Structured Prompts
- System Context Setup
- Reliable AI Outputs
Day 30: Context Engineering & RAG Foundations
- Unstructured Data
- Parsers
- LLM Prefiltering vs. Parsing Techniques
- Image Processing Basics
Day 31: Chunking Strategy, Retriever Types & ADL Best Practices
- Chunking Strategies
- Retriever Types
- Efficient Knowledge Retrieval
- Industry Best Practices
Module 5 — Agentforce Advanced
Day 31: Data Cloud Deep Dive: DLO vs DMO, Flex Credits Model
- Data Objects Concepts
- Billing Models
Day 32: Agentforce Digital Wallet & Consumption Tracking
- Monitor Usage Metrics
- Billing Tracking
Day 33: Agentforce Pricing & Token Count Use Case
- Hands-on Token Counting
- Flex Credit Usage
Day 34: Agentforce Integration Patterns & Cost Management
- Action vs. Prompt Costing
- Retry & Fallback Strategies
- Morning Briefing Pattern
Day 35: Hands-on Session: Agentforce Use Case 1 – Smart Quote Processing
- Business Use Case Implementation
Day 36: Hands-on Session: Agentforce Use Case 2 – Voice to Text Use Case
- Speech-to-Text Integration
- Voice Data Processing
Day 37: Hands-on Session: Prompt Engineering Use Case 1 – Document Classification
- Industry-Based Prompt Application
- Document Classification
Day 38: Hands-on Session: Prompt Engineering Use Case 2 – Document Triangulation
- Multi-Source Document Validation
- Prompt-Based Document Analysis
Module 6 —Agentforce Voice and Telephony
Day 39: Agentforce DX & DevOps CI/CD
- Source Control
- Scratch Orgs
- Deployment Pipelines
Day 40: Telephony Integration Patterns & Contact Center
- Telephony System Integration
- Agentforce Contact Center Integration
Day 41: Agentforce Voice Features, Capabilities & Costing
- Voice Agent Capabilities Overview
- Voice Features
- Costing Overview
Module 7 —Badge Process
Day 42: Salesforce FDE Ready Pathway, Badges & Certification Process
- Professional Development
- Salesforce FDE Pathway
- Badge Attainment
- Certification Process
FAQ’s for Forward Deployed Engineer (FDE) Salesforce Course:
1. Who can join this Salesforce FDE course?
Salesforce Developers, Administrators, Consultants, Architects, FDE aspirants, Software Engineers, AI professionals, and experienced IT professionals.
2. Do I need prior Salesforce knowledge?
Basic Salesforce, CRM, development, or IT knowledge is recommended to follow the course comfortably.
3. What will I learn about Salesforce FDE?
You will learn the FDE mindset, business requirement analysis, POC/MVP development, solution design, architecture, implementation, testing, and end-to-end solution delivery.
4. Does this course cover Agentforce?
Yes. The course provides end-to-end coverage of Agentforce, including agent architecture, Agentforce Builder, Agent Scripts, actions, tools, Prompt Builder, testing, evaluation, and monitoring.
5. Will I learn Salesforce Data 360/Data Cloud?
Yes. You will learn data ingestion, data streams, transformations, data unification, identity resolution, canonical models, calculated insights, intelligent context, DLO, DMO, and consumption concepts.
6. Does the course cover Generative AI, RAG, and Prompt Engineering?
Yes. The course covers Generative AI, Prompt Engineering, AI grounding, RAG architecture, context engineering, chunking, retrievers, document processing, MCP concepts, and reliable AI outputs.
7. Will there be hands-on projects and real-world use cases?
Yes. The course includes practical POC/MVP development and hands-on use cases such as Smart Quote Processing, Voice-to-Text, Document Classification, and Document Triangulation.
8. Does the course cover integrations and DevOps?
Yes. You will learn integration patterns, APIs, Slack integration, Voice and Telephony integration, Salesforce DX, source control, scratch orgs, CI/CD, and deployment practices.
9. Will I learn Agentforce pricing and cost management?
Yes. The course covers Flex Credits, Digital Wallet, token usage, consumption tracking, pricing concepts, action vs. prompt costing, and cost-management strategies.
10. Does the course include Salesforce certification or badge guidance?
Yes. The final section covers the Salesforce FDE pathway, badge attainment, certification process, and professional development guidance.
How can I enroll for this course?
OR
For any other details, Call me or Whatsapp me on +91-9133190573
Live Sessions Price:
For LIVE sessions – Offer price after discount is 200 USD 159 119 USD Or USD15000 INR 13000 INR 9900 Rupees.
Sample Course Completion Certificate:
Your course completion certificate looks like this……
Note:
To maintain the quality of our training and ensure a smooth learning experience for all participants, we do not allow batch repetition or switching between courses.
To reiterate, moving from one course to another or shifting from one trainer to another (even if it is the same course) is not possible. Changing batches or trainers in any form is strictly not permitted.
We request all learners to attend the scheduled sessions regularly and make the most of their learning journey. Thank you for your understanding and continued support.