Hot in Market Intermediate 6 Weeks • 40+ Hours • 1-on-1 Live

AI for Cloud Engineers (Azure AI + AWS Bedrock)

Every cloud job description now lists AI services. Master Azure OpenAI, Azure AI Foundry, AWS Bedrock and SageMaker hands-on — deploy models, build RAG apps on cloud data, and secure AI workloads like a professional.

Industry-Expert Trainer 4.9/5 Student Rating Placement Assistance 24x7 Hands-on Labs

Training Highlights

  • 1-on-1 live training with Piyush Mahajan (Microsoft (Azure), Ex-VMware)
  • 40+ Hours of live instructor-led sessions — flexible timing, your pace
  • Live class recordings with timestamped notes — revise anytime
  • 24x7 dedicated lab pod — 8+ guided hands-on labs
  • Trainer-written PDF notes, workbooks & cheat sheets
  • Mock interviews, resume building & placement assistance
  • Course completion certificate with unique ID
  • Free demo session before you pay anything

Course Content

Azure AI services vs AWS AI services, when to use what

What You Will Learn — Topic by Topic

  • Azure OpenAI deployment & model catalog
  • Prompt Flow — build & evaluate AI flows
  • Azure AI Search + vector indexes
  • AI Foundry projects & observability
  • AWS Bedrock model access & inference
  • Bedrock Agents & action groups
  • Knowledge Bases — RAG without servers
  • Guardrails — PII filters & topic blocking
  • Embeddings & vector DB choices (Pinecone, pgvector)
  • Chunking strategies for enterprise docs
  • Token pricing & cost control patterns
  • Private endpoints & VNet integration for AI
  • IAM & key management for AI services
  • Content safety & responsible AI dashboards
  • SageMaker vs Bedrock — decision framework
  • Multi-model routing & fallback design

Hands-on Labs You Will Perform

LAB 01

Deploy GPT model in Azure OpenAI + call from app

LAB 02

Build RAG chatbot over company PDFs (Azure)

LAB 03

Bedrock Knowledge Base over S3 documents

LAB 04

Bedrock Agent that checks AWS resources

LAB 05

Add guardrails & test jailbreak resistance

LAB 06

Cost dashboard for AI token usage

LAB 07

Private-networked AI deployment (no public IP)

LAB 08

Capstone — enterprise document assistant

Certification Exam Details

Exam Code

AI-102 / AWS AIF-C01 aligned

Duration

100 Minutes

Format

40–60 Questions

Validity

1 Year (free renewal)

Exam Fee

$165 (approx ₹14,000)

Prerequisites

  • AZ-104 or AWS SAA level knowledge
  • Basic scripting (Python/JS)
  • AI Fundamentals course or equivalent

Who Can Do This Course

  • Cloud engineers & architects
  • DevOps engineers adding AI skills
  • Developers deploying AI on cloud

Career Opportunities & Salary

India: ₹12 – 22 LPA Global: $115K – $155K

Cloud AI Engineer

AI Solutions Engineer

GenAI Platform Engineer

Frequently Asked Questions

Still have doubts about AI for Cloud Engineers (Azure AI + AWS Bedrock)?

Talk to a counsellor or book a free 1-on-1 demo with Piyush Mahajan — no commitment.