AWS Certification +
Agentic AI on AWS
The most advanced LIVE AWS cohort in India — combining SAA-C03 / SAP-C02 certification prep, Agentic AI, MLOps, and enterprise DevSecOps — taught by a Lead engineer with 12+ years in production.
More than a cert prep course
Popular self-paced video courses are great for the exam. But here's what they don't give you — and what employers actually want in 2026.
Agentic AI Depth
Bedrock Agents, AgentCore, Strands SDK, MCP — none of the 'big name' courses cover this. You'll be ahead of 99% of engineers.
DevSecOps Integrated
Security baked in from Day 1, not an afterthought. Same patterns I use as a DevSecOps Lead in production today.
Career Outcomes
Resume rewrite, LinkedIn makeover, mock interviews, salary negotiation, and job referrals via my network.
Cloudadhar vs Self-Paced Giants
| Feature | 🚀 Cloudadhar | Popular Self-Paced Course | Subscription Platform |
|---|---|---|---|
| Format | LIVE cohort + recordings | Self-paced video only | Self-paced video only |
| Instructor access | ✅ 1:1 + WhatsApp + Discord | ❌ Q&A forum only | ❌ Slack channel only |
| Real production stories | ✅ 12+ yrs enterprise production | ⚠️ Consulting context | ⚠️ General examples |
| Agentic AI / Bedrock Agents | ✅ Deep dive (Weeks 11–12) | ❌ Not covered | ❌ Not covered |
| MLOps / SageMaker | ✅ Full week | ⚠️ Separate course | ⚠️ Separate course |
| DevSecOps integrated | ✅ Full week + throughout | ❌ Cert-only focus | ❌ Cert-only focus |
| Capstone project review | ✅ Live + recorded | ❌ | ❌ |
| Resume + LinkedIn rewrite | ✅ Included | ❌ | ❌ |
| Mock interviews | ✅ 1–3 rounds | ❌ | ❌ |
| Job referrals | ✅ Via network | ❌ | ❌ |
| Hindi/Hinglish delivery | ✅ Indian context | ❌ English only | ❌ English only |
| Pricing (INR) | ₹10,000–₹15,000 | ₹449–₹999 (marketplace) | ₹12,500/yr subscription |
Self-paced courses are excellent for solo cert prep. Cloudadhar is for engineers who want a career outcome, not just a certificate.
From zero to production AI engineer
Every week ends with a hands-on lab. Every concept is tied to real production patterns.
Cloud Foundations & AWS Core
- Well-Architected Framework — 6 pillars, deep dive with real case studies
- IAM (users, roles, policies, Identity Center, federation, OIDC for CI/CD)
- AWS Organizations, SCPs, Control Tower, multi-account strategies
- AWS CLI, SDKs, CloudShell, Session Manager
- Billing, Cost Explorer, Budgets, Compute Optimizer, Savings Plans
Compute & Networking (Production-Grade)
- EC2 deep dive: instance families, AMIs, EBS, placement groups, Spot strategies
- Auto Scaling Groups, Launch Templates, mixed instance policies
- ALB / NLB / GWLB / API Gateway — when to use what
- VPC, Subnets, NAT GW, IGW, Route Tables, NACLs, SGs
- Transit Gateway, VPC Peering, PrivateLink, VPC Endpoints (Gateway + Interface)
- Route 53 advanced: weighted, latency, geo, failover, health checks
- CloudFront + Lambda@Edge + CloudFront Functions
- Direct Connect, Site-to-Site VPN, Megaport (real hybrid case study)
Storage & Databases (incl. Vector DBs for AI)
- S3: lifecycle, replication (CRR/SRR), versioning, encryption (SSE-S3/KMS/C)
- S3 performance, multipart upload, Transfer Acceleration, Object Lock
- EBS (gp3/io2/Throughput Optimized), EFS, FSx (Windows/Lustre/ONTAP)
- RDS (Multi-AZ vs Read Replicas), Aurora, Aurora Serverless v2
- DynamoDB: partition keys, GSI/LSI, streams, TTL, on-demand vs provisioned
- ElastiCache (Redis/Memcached), MemoryDB
- Aurora pgvector + OpenSearch for RAG embeddings (used in real AI apps)
- DMS, SCT, backup strategies
Serverless & Containers
- Lambda: cold starts, layers, provisioned concurrency, SnapStart, ARM/Graviton
- API Gateway (REST vs HTTP vs WebSocket), throttling, custom authorizers
- EventBridge, SQS, SNS, Step Functions (Express vs Standard)
- ECS Fargate: task definitions, services, capacity providers
- EKS deep dive: managed node groups, Fargate, Karpenter, IRSA, Pod Identity
- App Runner, Lightsail (when not to use)
- GitOps with ArgoCD on EKS
Security + DevSecOps (My Specialty)
- KMS: envelope encryption, key policies, grants, multi-region keys
- Secrets Manager vs Parameter Store, rotation strategies
- GuardDuty, Security Hub, Inspector, Macie, Detective, Audit Manager
- WAF (rate-based, geo, managed rules), Shield Advanced, Network Firewall
- VPC Flow Logs, CloudTrail, Config, AWS Trusted Advisor
- DevSecOps in CI/CD: SAST (CodeGuru/SonarQube), DAST (OWASP ZAP), SCA, secret scanning
- CIS benchmarks, SOC2/HIPAA/PCI on AWS — what auditors actually look at
- Real war stories: how DevSecOps is built inside global enterprises
Observability & FinOps
- CloudWatch (Metrics, Logs Insights, Alarms, Synthetics, RUM, ServiceLens)
- X-Ray, OpenTelemetry, AWS Distro for OTel (ADOT)
- Grafana + Prometheus + Loki on AWS (with Alloy) — same stack used in production enterprises
- Amazon Managed Grafana / Prometheus
- Cost optimization: Right-sizing, Savings Plans, Reserved Instances strategy
- FinOps lifecycle, showback/chargeback
- Migrating from Splunk → Grafana Loki (real case study)
IaC + CI/CD (Production Patterns)
- Terraform on AWS: modules, remote state (S3+DDB), workspaces
- Terragrunt for multi-env / multi-account
- CDK fundamentals (TypeScript & Python), CloudFormation
- GitHub Actions with OIDC → AWS (no long-lived keys)
- AWS CodePipeline + CodeBuild + CodeDeploy
- GitOps workflows, blue/green, canary deployments
- Real production reusable Terraform module library (we'll build one)
GenAI on AWS — Foundation
- Amazon Bedrock: Anthropic Claude, Meta Llama, Cohere, AI21, Mistral, Titan
- Bedrock model selection — cost vs latency vs quality tradeoffs
- Knowledge Bases for Bedrock (managed RAG)
- Bedrock Guardrails (PII, denied topics, contextual grounding)
- Amazon Q Developer (the new Copilot for AWS)
- Amazon Q Business — enterprise GenAI assistants
- Comprehend, Textract, Polly, Transcribe, Translate (when to use vs LLMs)
Agentic AI on AWS — Advanced 🔥
- Bedrock Agents: action groups, tool use, function calling
- Bedrock AgentCore (the new managed agent runtime)
- Strands Agents SDK (open-source from AWS) — multi-agent orchestration
- MCP (Model Context Protocol) — integrating tools the standardized way
- LangGraph + Bedrock for stateful, cyclical agents
- Multi-agent patterns: supervisor, swarm, pipeline
- Observability for agents — tracing, evaluation, cost tracking
- This is where 99% of trainers stop — we go all the way
ML Engineering on AWS (MLOps)
- SageMaker Studio, Notebooks, Pipelines, Feature Store
- Training jobs, Hyperparameter Tuning, Distributed Training
- SageMaker Endpoints (real-time, async, batch, serverless, multi-model)
- SageMaker JumpStart — deploy foundation models in 1 click
- Model Registry, Model Cards, Clarify (bias detection)
- ML Engineer Associate (MLA-C01) topics covered for cross-cert
- GPU on AWS: P4d, P5, Inf2, Trainium — cost-effective inference
- Compare: SageMaker vs Bedrock vs self-hosted on EKS
🏆 Capstone — Build & Deploy an Agentic AI SaaS
- End-to-end project: multi-agent customer support SaaS on AWS
- Bedrock Agents + Knowledge Base + DynamoDB + Lambda + API Gateway
- Frontend on CloudFront + S3, auth via Cognito
- CI/CD with GitHub Actions + Terraform (full IaC)
- Observability with CloudWatch + X-Ray + Grafana
- Security review with Security Hub, Inspector, secrets rotation
- Cost analysis & optimization (Compute Optimizer, Savings Plans)
- Live demo day — showcase to recruiters & potential employers
Certification Sprint (SAA-C03 OR SAP-C02)
- Domain-by-domain rapid review (aligned with official AWS exam guide)
- Scenario-style question walkthroughs (50+ practice questions)
- AWS Skill Builder Official Practice Exam strategy
- Common traps, time management, flagging strategy
- Exam day checklist (Pearson VUE vs online proctored)
- Group study sessions + 1:1 doubt clearing
- AWS Builder Labs, Cloud Quest, Jam — gamified practice
🚀 Career Launch
- Resume rewrite featuring your batch projects (ATS-optimized)
- LinkedIn profile makeover (headline, about, banner, recommendations)
- Mock interviews: technical (3 rounds) + behavioral + system design
- DevOps/Cloud system design playbook
- Salary negotiation tactics — what numbers to ask, how to counter
- Job referrals via Cloudadhar alumni & professional network
- Lifetime access to Cloudadhar community (Discord)
Choose your track
All plans include the full 16-week LIVE cohort. EMI options available via Razorpay.
Early Bird
- All 16 weeks LIVE classes
- 1:1 mentorship calls (4 sessions)
- Lifetime access to recordings (4 yrs)
- Capstone project review
- Resume + LinkedIn rewrite
- Mock interviews (3 rounds)
- Discord community lifetime
- AWS exam voucher guidance
Regular
- All 16 weeks LIVE classes
- 1:1 mentorship calls (2 sessions)
- Lifetime access to recordings (4 yrs)
- Capstone project review
- Resume review complete
- Mock interviews (3 rounds)
- Discord community lifetime
- AWS exam voucher guidance
Pro 1:1
- Everything in Regular +
- Weekly 1:1 mentorship (16 calls)
- Personal job-search strategy
- Direct WhatsApp access to Gangadhar
- Resume + LinkedIn + GitHub review
- Unlimited mock interviews
- Post-batch 90-day support
💡 Group discount: Bring 3+ friends → flat 20% off each. Referral: Earn ₹2,000 cashback per friend who enrolls.
FAQs
Will this prepare me for SAA-C03 or SAP-C02?
Both. We run dual tracks. Associate students focus on SAA-C03 in Week 15. Professional students focus on SAP-C02. Same core content for Weeks 1–14.
I'm a fresher. Is this for me?
If you have basic Linux + Git + 1 programming language, yes. We'll give you a free pre-course primer to get ready.
What if I miss a class?
Every class is recorded. You get 4 years of access. Plus weekly doubt-clearing sessions to catch up.
Are AWS exam fees included?
No — that's $150 USD paid directly to AWS. But we'll guide you on free vouchers via AWS Educate, re/Start, and certification rewards.
Can I get a refund?
100% refund within first 7 days, no questions asked. After that, prorated based on classes attended.
What's the difference vs popular self-paced courses?
Self-paced video courses are great for cert exam prep. Cloudadhar is LIVE + 1:1 + Agentic AI + DevSecOps + career outcomes. Different tools, different goals.
Will you help me get a job?
Yes. Resume rewrite, mock interviews, LinkedIn makeover, and direct referrals via the Cloudadhar alumni & professional network.
EMI available?
Yes — 3 / 6 month EMI via Razorpay (no-cost EMI on most cards).
Only 30 seats. Starts 27 June 2026.
Don't scroll past this. Take the call. Reserve your seat now and start your 16-week journey to becoming the Shaktimaan of Cloud.