Retrieval-Augmented Generation
RAG
Ground LLM answers in your own documents with chunking, retrieval, re-ranking and citations.
2026 DeepSoft AI Partner Academy · Self-paced certification
Become an Agentic AI Forward-Deployed Engineer
Microsoft AI FDE + Google Gemini AI FDE + AWS AI FDE — one credential.
Learn to design, build, evaluate and deploy RAG systems and AI agents that real clients put into production — at your own pace, with hands-on practice tasks and a certificate you earn by passing one exam.
- Recorded sessions
- One exam to get certified
- Verifiable certificate
12Modules
37Recorded sessions
70%Exam pass mark
3Clouds, one credential
Microsoft FoundryAzure DatabricksGemini EnterpriseGoogle ADKAmazon BedrockAgentCoreSageMaker AILangGraphLlamaIndexPineconeFAISSRagasDeepEvalMCPAntigravityOpenAI CodexClaude CodeHugging FaceMicrosoft FoundryAzure DatabricksGemini EnterpriseGoogle ADKAmazon BedrockAgentCoreSageMaker AILangGraphLlamaIndexPineconeFAISSRagasDeepEvalMCPAntigravityOpenAI CodexClaude CodeHugging Face
What you'll learn
The concepts and tools clients ask for
Master the building blocks of modern GenAI, then apply them on the platforms enterprises actually use.
01
Foundations
The core ideas behind every GenAI system
Embeddings & semantic search
Vector databases
Turn text into embeddings and search by meaning with similarity, metadata filters and hybrid search.
Managed vector database
Pinecone
Create serverless indexes, upsert vectors with metadata and query at production scale.
02
Cloud AI platforms
Build and deploy on Microsoft, Google, AWS and Databricks
Microsoft
Microsoft Azure Foundry
Models, prompt flow, agents, content safety and evaluation on Azure.
Google Cloud
Google Gemini Agent Platform
Build multimodal agents with grounding, tools and enterprise data connectors.
AWS
AWS SageMaker
Train, fine-tune, deploy and monitor ML and foundation models as endpoints.
AWS
Amazon Bedrock
Use foundation models through one API with knowledge bases, agents and guardrails.
Databricks on Azure
Azure Databricks
Lakehouse data, vector search, model serving and ML pipelines for AI apps.
03
AI coding agents
Ship faster with AI pair programmers
Google · agentic IDE
Antigravity
Plan, build and verify features with autonomous agents inside your editor.
OpenAI · coding agent
Codex
Delegate coding tasks, review diffs and run tests with a cloud coding agent.
Claude & Claude Code
Anthropic Claude
Use Claude models and Claude Code to read codebases, write code and run workflows.
Outcomes
What you'll be able to do
Skills that turn impressive AI demos into systems clients rely on every day.
Ship production RAG
Chunking, embeddings, hybrid search and re-ranking — grounded answers with citations.
Build AI agents
Tool calling, memory, multi-agent workflows and MCP, with guardrails clients trust.
Evaluate like a pro
Golden sets, faithfulness and relevance metrics, CI gates and red-teaming.
Deploy on three clouds
Microsoft Foundry, Google's Gemini Enterprise Agent Platform and AWS Bedrock.
Own the AI bill
Estimate token costs before you build, then cut them with caching and routing.
Ship 10× faster
Pair with AI coding agents — Antigravity, Codex and Claude Code — the safe way.
One credential · three clouds
Microsoft + Google + AWS, in one program
Clients rarely pick one cloud. Forward-deployed engineers who can ship on all three are the ones who get hired.
Microsoft AI FDE
- Microsoft Foundry & Agent Service
- Azure OpenAI, Claude & Mistral models
- Azure Databricks AI Search & serving
Google Gemini AI FDE
- Gemini Enterprise Agent Platform
- Agent Development Kit & Agent Engine
- RAG Engine, grounding & BigQuery
AWS AI FDE
- Amazon Bedrock & Knowledge Bases
- Bedrock AgentCore & Strands Agents
- SageMaker AI with Hugging Face
Learning experience
Built like a product, not a playlist
Everything in one place — sessions, notes, projects, progress and your certificate.
Focused, recorded sessions
Structured sessions in a distraction-free player. Sessions autoplay one after another, resume exactly where you stopped and complete automatically when you've watched 90%.
Real progress tracking
Streaks, badges, an activity heatmap and module progress keep you moving.
Real-world case studies
Insurance claims, knowledge assistants, retail copilots and telecom agents — hands-on practice with nothing to submit.
Notes & resources
Private notes that save as you type, plus notebooks, slides and reference links for every session.
Tokenomics
Quote the monthly AI bill before you build, then cut it with caching, routing and batch.
Evaluation-first
Golden sets, quality metrics, CI gates and red-teaming — how demos become production.
Your path
Four steps to certified
- 01LearnWork through 37 recorded sessions at your own pace.
- 02PractiseTry the hands-on tasks and case studies — optional, nothing to submit.
- 03ProvePass the 60-minute, 30-question concept exam (≥ 70%).
- 04ShareDownload your certificate and add it to LinkedIn in one click.
01GenAI & LLM Fundamentals
- AI FDE Roles & ML Algorithms Recap Free preview
- Deep Learning Models & Transformer Paper
- Generative AI & LLM Fundamentals
- Prompt Engineering Practice
- LLM Providers & Models
02RAG & Vector Databases
- RAG Architecture & Embeddings
- FAISS & Pinecone Vector Search Practice
03Frameworks: LangChain, LangGraph, LlamaIndex
- LangChain
- LangGraph & MCP Practice
- LlamaIndex
04RAG Evaluation Frameworks
- Ragas
- DeepEval & Red Teaming Practice
05Microsoft Foundry
- Microsoft Foundry Architecture
- Foundry Agent Service
- Foundry Case Study: Insurance Claims Agent Case studyPractice
06Azure Databricks
- Azure Databricks Lakehouse for AI
- Databricks AI Search & Model Serving
- Databricks Case Study: Enterprise Knowledge Assistant Case studyPractice
07Gemini Enterprise Agent Platform
- Gemini Enterprise Agent Platform
- Google ADK & Agent Engine
- Gemini Case Study: Retail Operations Copilot Case studyPractice
08Amazon SageMaker AI
- Amazon SageMaker AI Architecture
- SageMaker Fine-Tuning & Deployment
- SageMaker Case Study: Support-Ticket Classifier Case studyPractice
09AWS Bedrock & AgentCore
- Amazon Bedrock & Knowledge Bases
- Bedrock AgentCore & Strands Agents
- AgentCore Case Study: Telecom Care Agent Case studyPractice
10Productivity Tools: Antigravity, Codex, Claude Code
- Google Antigravity
- Antigravity Workflows
- Antigravity Case Study: Full-Stack App Case studyPractice
- OpenAI Codex
- Codex Workflows
- Codex Case Study: Legacy Code Modernisation Case studyPractice
- Claude Code
- Claude Code Workflows
- Claude Code Case Study: MCP-Connected Automation Case studyPractice
11Tokenomics
- Tokenomics Practice
12Certification Exam
- Certification Exam
Certification
A credential employers can verify in seconds
Earn the DeepSoft AI Certified credential by passing the certification exam with 70% or more — it's issued and emailed to you instantly.
- Unique credential IDEvery certificate is individually numbered and signed.
- QR verificationAnyone can scan it to confirm it's genuine.
- Add to LinkedInOne click adds it to your profile's certifications.
- Print-ready PDFA4 certificate you can download and print.
Dipak K.Pricing
One fee. Everything included.
No subscriptions, no hidden costs — just the complete program and your certificate.
What's included
- 37 recorded sessionsSelf-paced, with autoplay and resume
- 13 practice tasksHands-on assignments & case studies
- Notebooks & lab guidesHands-on material for every module
- Certification examWith a free retake
- Verifiable certificateQR code, PDF and LinkedIn
- 12 months of access, including course updatesLearn on your schedule
Training a team?Corporate batches, GST invoices and progress reports — [email protected]
Enroll today
Agentic AI FDE Certification
₹2,999
Inclusive of 18% GST
- Instant access after payment
- All 37 sessions & 13 practice tasks
- Certification exam + free retake
- Certificate with QR verification
Secure checkout by PayU
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FAQ
Questions, answered
Can't find what you're looking for? We usually reply within one working day.
[email protected]Is this live or self-paced?
Fully self-paced. Every lesson is a recorded session with notes, reference links and hands-on work, and sessions play one after another so you can learn in focused streaks. 12 months of access, including course updates.
What do I need before starting?
Working Python and basic familiarity with APIs and Git. Machine-learning basics help but are recapped in Module 1.
Do I need paid cloud accounts?
The labs are designed around free tiers and new-account credits on Azure, Google Cloud and AWS. The setup lessons show how to set budgets and alerts so you stay in control of spend.
How do I get certified?
Pass the 30-question certification exam (≥ 70%) on core AI, ML, LLM, GenAI and RAG concepts — that's the only requirement. Your certificate is issued and emailed to you instantly, with a unique ID and QR code.
Can employers verify my certificate?
Yes. Every certificate has a public verification page and QR code, and you can add it to your LinkedIn profile in one click.
Can my company enroll a team?
Yes — email [email protected] for corporate batches, invoices and team progress reports.
Ready when you are
Start your Forward-Deployed Engineer journey today.
Join the Agentic AI FDE Certification and build the skills clients hire for.