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💻 Full Stack Development with Gen AI – 9 Months Become a future-ready developer by mastering Frontend, Backend, Databases, and integrating powerful Gen AI tools like ChatGPT & DALL·E into real-world web apps. Learn React, Node.js, MongoDB, OpenAI APIs, and build a strong portfolio with live projects, certifications, and job support.
📊 Data Analyst with Python – 6 Months Program. Kickstart your career in data with this beginner-friendly to advanced course focused on Python, SQL, Excel, Power BI/Tableau and real-world projects. Master data cleaning, visualization, and analysis, build a strong portfolio, and become job-ready with full certification & placement support.
☁️ Cloud Computing with ML Ops – Beginner to Advanced (9 Months) Master the future of tech by combining Cloud Computing, DevOps, and Machine Learning Operations (ML Ops) in one powerful program. This 9-month course takes you from foundational cloud skills to advanced ML deployment, including AWS/GCP, Docker, Kubernetes, Python, MLflow, and more. Learn by building real-world projects and get certified with industry-recognized credentials. Ideal for those aiming to become Cloud ML Engineers, ML Ops Specialists, or DevOps Engineers with AI expertise.
🚀 FastTrack Career Program | 6-Month Job-Ready Training | Live Classes, Mentorship & Projects 👩💻 Beginner to Advanced | Learn Programming, DSA, SQL, & Choose Your Specialisation 📊 Backend, Full Stack, or Data Engineering | Industry Tools + Hands-On Practice 🎯 Mock Interviews + Resume Building | Capstone Project With Expert Guidance 🎁 Bonus: GenAI, System Design, Product Thinking | Flexible EMI | Placement Support
📅 Month 1: Core Foundations – Linux, Networking & Infrastructure 🎯 Objective: Build rock-solid fundamentals required for production systems 🔧 Topics Covered 🐧 Linux internals (processes, memory, file systems, permissions, systemd) 📜 Advanced shell scripting (Bash, AWK, Sed, Cron jobs) 🌐 Networking fundamentals (TCP/IP, DNS, HTTP/HTTPS, Load Balancing) 🔐 OS-level security basics 🔑 SSH hardening & access control 🧪 Hands-On Labs 🖥️ Hardened Ubuntu Server setup 🌍 Secure NGINX web server deployment 🔁 Reverse proxy & load balancer configuration ☁️ Month 2: Cloud Fundamentals – AWS & Azure from Scratch 🎯 Objective: Understand cloud infrastructure at scale 🛠️ Technologies 🟧 AWS: EC2, VPC, IAM, S3, ALB, Auto Scaling 🟦 Azure: VM, VNets, NSG, Azure Storage 🌐 Cloud networking & identity design 💰 Cost optimization & tagging strategies 🏢 Industry Use Cases 🏗️ AWS infra setup for a TCS-style internal application 🏛️ Multi-tier architecture for an EY consulting workload 🐳 Month 3: Containerization & Kubernetes Engineering 🎯 Objective: Move from VM-based systems to container orchestration ⚙️ Technologies 📦 Docker internals & image optimization ☸️ Kubernetes architecture (API Server, Scheduler, etcd) 📊 Helm charts 🚦 Ingress controllers (NGINX, Traefik) ⚖️ Stateful vs Stateless workloads 🛒 Project 🛍️ Kubernetes-based microservices deployment for an Amazon-like e-commerce backend 🔁 Month 4: CI/CD & DevOps Automation 🎯 Objective: Build automated delivery pipelines 🧰 Technologies 🔧 GitHub Actions, Jenkins, GitLab CI 🏗️ Infrastructure as Code (Terraform) 🛠️ Configuration management (Ansible) 🔄 Blue-Green & Canary deployments 🌍 Real-World Scenarios 🛒 CI/CD pipeline for Walmart-scale application releases 🏢 Automated infra provisioning for a PwC consulting client 🛡️ Month 5: DevSecOps – Security Embedded into Pipelines 🎯 Objective: Shift security left 🔐 Technologies & Practices 🧪 SAST, DAST, SCA 🔑 Secrets management (Vault) 📦 Container security (Trivy, Aqua) ☸️ Kubernetes RBAC & Network Policies 📜 Compliance automation 🧩 Project 📋 DevSecOps pipeline aligned with KPMG audit & compliance standards 📊 Month 6: Observability, Reliability & AIOps Foundations 🎯 Objective: Operate systems intelligently at scale 📈 Technologies 📊 Prometheus & Grafana 📂 ELK Stack (Elasticsearch, Logstash, Kibana) 🧵 Distributed tracing (Jaeger) 🎯 SLA, SLO, Error Budgets 🤖 Introduction to AIOps 🚚 Use Case ⚡ Real-time monitoring for a Blinkit-style logistics platform 🤖 Month 7: MLOps – Machine Learning in Production 🎯 Objective: Operationalize ML systems 🧠 Technologies 🔁 ML pipelines (training, validation, deployment) 📦 Model versioning (MLflow) 🏬 Feature stores ☸️ Kubernetes-based ML serving 🔄 CI/CD for ML models 📈 Project 🛍️ Demand forecasting model deployment for Retail Analytics (Amazon/Walmart inspired) 🧠 Month 8: LLMOps – Managing Large Language Models 🎯 Objective: Deploy and manage LLM-based systems 🛠️ Technologies 🚀 LLM deployment pipelines 🧪 Model fine-tuning workflows 🗂️ Vector databases (Pinecone, FAISS) ✍️ Prompt engineering pipelines 🔌 API gateways for AI services 🏢 Enterprise Scenario 📚 Internal AI assistant for a Deloitte-style consulting knowledge base 🏆 Month 9: Capstone Projects & Enterprise Simulation 🎯 Objective: Deliver production-grade systems end-to-end 🧩 Capstone Options (Choose One) 1️⃣ AI-Powered E-Commerce Platform 🛒 Amazon/Walmart Inspired ☁️ Cloud + ☸️ Kubernetes + 🔁 CI/CD + 🤖 AIOps + 💬 LLM Chatbot 2️⃣ Consulting Firm Cloud Platform 🏢 PwC/KPMG Inspired 🔐 Secure multi-tenant infra + DevSecOps + Compliance dashboards 3️⃣ Real-Time Logistics Intelligence Platform 🚚 Blinkit Inspired 📊 Observability + 📈 Predictive scaling + 🤖 ML-driven alerts 📦 Deliverables 📐 Architecture design documents 💻 GitHub repositories 📊 Monitoring dashboards 🔐 Security & cost reports 🚀 Production-grade deployment 🎓 Outcome & Career Readiness By the end of the program, learners will be able to: ✅ Design & operate enterprise cloud platforms ✅ Build secure, scalable CI/CD pipelines ✅ Manage AI & ML workloads in production ✅ Work as Cloud Engineer, DevOps Engineer, SRE, MLOps Engineer, Platform Engineer 🌟 Why This Program is Different 🔥 Starts from absolute fundamentals 🏁 Ends with real-world, enterprise-grade deployments 🧠 Covers DevOps + AI Operations, not just tools 🏢 Strong alignment with Big 4 consulting & product companies 🎯 Built for placement-backed, outcome-driven learning
Learn AWS (20+ services), Azure, Git, GitHub, Docker, Kubernetes, Jenkins, Terraform, JIRA, Maven, Ant, and SonarQube. Perfect for IT professionals aiming to build CI/CD pipelines, automate infrastructure, and deploy secure, scalable applications. 100% pre-recorded sessions, hands-on labs, and certification included.
Learn the advance data engineering of Azure setup, user management, and directory services.
This power-packed course combines Python, Data Structures & Algorithms, Machine Learning, and cutting-edge GenAI tools like ChatGPT, LangChain, and AutoML. Build projects, strengthen your coding foundation, and prepare for top tech roles with structured pre-recorded content and real-world applications.
Learn everything from Excel to Power BI, SQL to Python, and data storytelling to dashboard building. This hands-on, beginner-friendly course will take you from data basics to business insights, equipping you with all the tools top companies look for in a Data Analyst.
