🚀 Become a Production-Ready MLOps, LLMOps, AIOps & Agentic AI Engineer

Build practical, job-ready skills to design, deploy, monitor and automate enterprise AI systems.

This is an ongoing, hands-on recorded program led by Rajinikanth Vadla. The current live batch is being recorded, with 4–5 new sessions added every week.

🎯 Enrol now, start learning immediately and receive lifetime access to all current and future modules at no additional cost.

📚 What You Will Learn

🤖 MLOps & Machine Learning Engineering

✅ End-to-end MLOps architecture and workflows

✅ Data preparation, model training and experiment tracking

✅ MLflow tracking, model registry and lifecycle management

✅ Model deployment, serving and scaling

✅ Model monitoring and drift detection

✅ Automated retraining and continuous ML pipelines

✅ CI/CD practices for machine learning systems

☁️ Cloud, DevOps & Kubernetes for AI

✅ Linux, Git, GitHub and cloud fundamentals

✅ Docker for ML and LLM applications

✅ Kubernetes deployment, scaling and service exposure

✅ Terraform infrastructure automation

✅ CI/CD pipelines for AI workloads

✅ Logging, monitoring and observability

✅ Production troubleshooting

✅ AWS, Microsoft Azure and Google Cloud AI services

🧠 LLMOps & Generative AI

✅ LLMOps architecture and LLM lifecycle management

✅ Generative AI application development

✅ Retrieval-Augmented Generation (RAG)

✅ Embeddings, chunking and semantic search

✅ Vector databases and enterprise knowledge retrieval

✅ LLM fine-tuning and deployment workflows

✅ Prompt engineering and prompt management

✅ LLM evaluation, security, monitoring and observability

✅ AWS SageMaker, Azure Machine Learning and Google Vertex AI

🦾 Agentic AI & AI Agents

✅ AI agent architecture and workflow design

✅ Tool-using and task-executing AI agents

✅ LangChain, LangGraph and CrewAI

✅ Model Context Protocol (MCP)

✅ Multi-agent orchestration

✅ API, database and enterprise-tool integrations

✅ Business process automation

✅ Agent security, governance and monitoring

📊 AIOps & Intelligent Automation

✅ Enterprise AIOps architecture and use cases

✅ Log, metric and event analysis

✅ Anomaly detection and predictive monitoring

✅ Intelligent alert correlation

✅ Automated incident investigation

✅ Root-cause analysis workflows

✅ Automated remediation using AI agents

✅ DevOps, SRE and observability integrations

🛠️ Hands-On Learning

This is not a theory-only course.

You will learn through:

🔹 Practical labs

🔹 Production scenarios

🔹 Architecture discussions

🔹 Real-world implementations

🔹 Troubleshooting exercises

🔹 Portfolio-ready projects

🎁 What You Receive

🎥 4–5 new recorded sessions every week

♾️ Lifetime access to all current and future recordings

🧪 Step-by-step practical labs

💻 Source code and configuration files

🏗️ Architecture diagrams and technical notes

📂 Real-world project files and examples

🏆 Four portfolio-ready capstone projects

🙋 Trainer support for technical and practical questions

📄 Resume and LinkedIn profile guidance

🎯 MLOps, LLMOps, AIOps and Agentic AI interview preparation

👨‍💻 Who Should Join?

This program is suitable for:

🔹 DevOps Engineers

🔹 Cloud Engineers

🔹 SRE and Platform Engineers

🔹 Software Developers

🔹 Data Engineers

🔹 ML and AI Engineers

🔹 Generative AI Engineers

🔹 System Administrators

🔹 Technical Leads and Architects

🔹 IT professionals transitioning into AI engineering

💼 Career Roles Covered

🚀 MLOps Engineer

🚀 LLMOps Engineer

🚀 AIOps Engineer

🚀 Agentic AI Engineer

🚀 AI Platform Engineer

🚀 Generative AI Engineer

🚀 ML Platform Engineer

🚀 AI Infrastructure Engineer

🚀 Cloud AI Engineer

⭐ Why Learn with Rajinikanth Vadla?

🏢 7+ years of enterprise technology experience

👨‍🎓 500+ engineers trained

⭐ 4.9-star reported session feedback

🛠️ Practical production scenarios and live demonstrations

☁️ Hands-on Cloud, DevOps, MLOps and AI experience

🎯 Career-focused training based on enterprise practices

🔥 Early-Access Price: ₹30000

The program is currently available for ₹30000 while new modules are being recorded and uploaded.

📈 After the complete course is published, the price will increase to ₹40000

🔒 Enrol now to secure lifetime access at the early-access price.

🌐 Website: rajinikanthvadla.com

📲 WhatsApp: +91 91000 28801

💬 Questions before enrolling? Call or message directly.