Masterclass FAQ

Yes. Cloud & DevOps + AI covers both, along with GCP. You spend 2.5 months on AWS & DevOps, followed by 1.5 months of Azure, DevSecOps, AI and projects.

There is no mandatory programming prerequisite. The program starts with Linux, networking and shell scripting.

No. No minimum work experience or formal eligibility requirement is listed.

Choose Cloud & DevOps + AI if you want to focus on cloud, CI/CD and deployment. Choose Generative AI Premium Plus if you want to focus on AI apps, RAG and agents. Specific job roles are not guaranteed.

Enquire at www.microdegree.work or call 0804-710-9999.

Yes. Topics include IP addresses, subnetting, DNS, DHCP, firewalls, and the OSI and TCP/IP models.

Yes. Topics include SAST, DAST, software composition analysis, OWASP, CIS benchmarks and secure pipelines.

The course includes 10 Scrum-based live projects.

Examples include CI/CD pipelines, Kubernetes deployments, Terraform provisioning, monitoring, DevSecOps and GitOps.

Yes. You deploy applications using CI/CD, Docker, Kubernetes and cloud infrastructure.

Yes. One project covers SAST, image scanning, secrets detection and policy enforcement.

Yes. Generative AI Premium Plus covers AI agents, LangChain, LangGraph, multi-agent systems and MCP.

Yes. Claude is one of the tools in the AI foundations module.

Yes. You learn Python for AI engineering, including APIs, JSON, error handling, Pydantic and building small AI services.

Focused Python training is included in the course. No minimum Python level is listed as a requirement.

No. It focuses on the Python used in AI engineering. It is not a general Python course, and it doesn’t go into deep OOP or DSA.

Yes. You build automation flows, RAG knowledge assistants and AI agents, and deploy them.

Yes. Premium Plus includes a production-grade multi-agent AI platform with custom RAG, MCP and Dockerised AWS deployment.

RAG systems retrieve information from your documents to answer questions. You learn to build them using chunking, embeddings, vector databases and semantic search.

Yes. Building a basic knowledge assistant is a learning objective of the RAG module.

OpenAI, Bedrock, Gemini, Claude, Ollama, n8n, LangChain, LangGraph and the MCP SDK.

Yes. The n8n module covers visual AI workflows, chatbot flows and email automation.

Yes. You learn agent roles, collaboration, shared memory and orchestration using LangGraph.

Yes. The course covers MCP fundamentals, context sharing and agent communication.

Yes. Deployment covers Docker, AWS EC2, FastAPI / Streamlit, caching and monitoring basics.

No. vLLM and KServe are not part of the course’s tool list.

Generative AI Premium runs for 2.5 months. Premium Plus runs for 4.5 months.

Yes. Cloud & DevOps + AI is delivered through live online training.

Cloud & DevOps + AI is taught in Kannada.

Yes. A dedicated mentor helps you clear doubts, and personalised mentorship is also offered.

We have branches in Bengaluru and Mangaluru. Offline classroom batches aren’t confirmed, so please check with our team before you enrol.

Please check recording availability and how long you can access them with our team before you enrol.

Yes. Cloud & DevOps includes hands-on tasks and Scrum-based projects. Gen AI includes building AI applications and agent workflows.

Yes. Both are certification programs. Cloud & DevOps + AI also includes an internship certificate.

AWS and Azure are taught in the course, but vendor-issued certificates or exam vouchers are not included.

Yes. Placement assistance is included with Cloud & DevOps + AI.

No job guarantee is offered. Cloud & DevOps + AI does include placement assistance.

You receive an internship certificate, but an internship with an outside employer is not promised.

No. No specific salary or salary increase is guaranteed.