AI · GenAI · Agentic AI · AWS · Azure · GCP · DevOps · Citrix · VMware · AVD · Intune · FDE
Instructor-led technology training for freshers, IT professionals and career switchers — classroom in Ameerpet, Hyderabad and live online across India, with hands-on labs, real-time projects, interview preparation and placement assistance. 5,500+ placements (as of 2026-05).
Modern enterprises need engineers who understand the whole lifecycle — AI → Application → Cloud → Infrastructure → DevOps → Security → Monitoring → Production. Pick the track that matches your goal; every path below is a dedicated, project-based course with its own deep syllabus.
Our AI path goes well beyond basic machine learning: Python → ML → Deep Learning → NLP → Generative AI → RAG → AI Agents → Agentic AI → Enterprise AI → AI on Cloud. You learn LLMs, prompt engineering, embeddings, vector databases, retrieval-augmented generation and evaluation, then build autonomous agents with LangChain, LangGraph and MCP — and deploy enterprise AI on AWS Bedrock and Azure OpenAI + Azure AI Search with security, governance and observability. Start with the AI, GenAI & Agentic AI course, or go deeper on production AI with the FDE PRO — Forward Deployed Engineer course.
The strongest 2026 profile is rarely a single tool. A modern AI-platform engineer combines Python + AI + Cloud + DevOps + Kubernetes + Security. Build depth in one cloud (AWS, Azure or GCP), add the DevOps toolchain (Docker, Kubernetes, Terraform, CI/CD, Prometheus/Grafana, SRE), then layer AI/GenAI. Want all three clouds? See Multi-Cloud training.
For infrastructure and end-user-computing careers, we cover Citrix (CVAD, PVS, NetScaler, DaaS), VMware (vSphere, NSX, Horizon), and the combined Citrix + Azure AVD + Intune course. A classic growth path is Windows → VMware/Citrix → Azure → AVD → Intune → Entra ID → Modern Workplace.
Whether you're targeting AI Engineer, GenAI/Agentic AI Engineer, Cloud/AWS/Azure Engineer, DevOps/SRE, Citrix/AVD/Intune or Forward Deployed Engineer roles, the question that matters is which skills employers expect for that role. Browse live openings and salary bands on the Cloudsoft jobs board:
See also the AI/ML Engineer career roadmap and our honest placement methodology.
Learn in person at our Ameerpet campus — 513, 5th Floor, Aditya Enclave, Nilagiri Block, beside Ameerpet Metro Station, Hyderabad 500016 — or via live, instructor-led online batches across India. Same instructor, same labs, full recordings. Flat course fee, lifetime LMS access and a 24/7 AI tutor.
It depends on your experience and target role. Look for a program covering AI fundamentals, Generative AI, RAG, Agentic AI, enterprise deployment and cloud integration with real projects — not only prompt engineering. See our AI, GenAI & Agentic AI track and the FDE PRO course.
Agentic AI (LangChain, LangGraph, MCP, multi-agent, human-in-the-loop) is part of our AI ecosystem, with classroom training in Ameerpet and live online options.
Yes — LLMs, prompt engineering, embeddings, vector databases, RAG and AI application development are all covered in the AI track.
Yes — dedicated AWS, Azure and GCP tracks, plus a Multi-Cloud track, each with hands-on labs and a deployed project. Specific coverage depends on the program.
Yes — host pools, session hosts, FSLogix, scaling, identity and troubleshooting for AVD, plus Intune device enrolment, Autopilot, compliance and Conditional Access, in the Azure and combined Citrix+AVD+Intune courses.
Yes — a standalone Citrix (CVAD, PVS, NetScaler, DaaS) track, a combined Citrix + AVD + Intune course, and a VMware (vSphere, NSX, Horizon) track.
Yes — Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, Ansible, Argo CD/GitOps, Prometheus/Grafana and SRE practices, built around a production project.
Yes — courses start from fundamentals (Python, Linux, networking). Non-IT switchers are common; ask about the fresher onboarding path.
We provide placement assistance — resume optimisation, LinkedIn, mock interviews and referrals to our partner network. Placement itself is not guaranteed; it depends on your interview performance and market conditions. See /placements/methodology/ for how we document outcomes.
Pick the technology that matches your goal — AI, Cloud, DevOps, Citrix, VMware, AVD, Intune or FDE — and build job-ready skills with real projects and placement assistance.