Agentic AI Systems and Cloud Deployment

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Machine Learning and Artificial Intelligence have become strategic priorities for modern technology teams, but workplace demands are moving beyond chatbot demos toward sophisticated agentic AI systems that can operate on cloud infrastructure. This specialization brings together the practical skills learners expect from an Agentic AI course with AWS cloud architecture. This way, it creates a focused pathway from AI application development to cloud-ready systems. Unlike a standalone AI agent course, it connects agent development with cloud-native backend architecture and deployment patterns. Designed for software developers and AI engineers, the specialization starts off with Agentic AI fundamentals, where you’ll build AI applications with MERN, RAG, MCP, and leading AI models while learning how agents use context and tools. Next, you’ll progress to MCP servers, embeddings, tool calling, and agent orchestration to create more capable AI workflows. Finally, you’lllearn AWS database management, serverless services, messaging, and event-driven architecture and apply these skills to design scalable cloud-based AI systems. By the end, you’ll be able to build AI systems that retrieve relevant context, execute tools, coordinate backend actions, and connect to cloud-native services with ease. Enroll now and move beyond AI prototypes to build cloud-ready Agentic AI systems!

Syllabus

Course 1: Agentic AI Foundations with MERN, RAG & MCP
Course 2: MCP Servers & Agentic AI Architecture
Course 3: AWS Databases, Messaging, and Event Driven Architecture

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This course on AWS Database Management, Event-Driven Architecture, and Messaging offers an in-depth examination of the critical services that underpin cloud-native systems. Designed for developers and cloud professionals, it brings each topic to life with demos and practical scenarios. You will learn how to manage databases with Amazon RDS, Aurora, DynamoDB, and ElastiCache, all while adhering to security, availability, and performance best practices. Create event-driven workflows with AWS Lambda and Step Functions. Learn how to use SQS, SNS, and Kinesis to expedite communication and gather insights, as well as tools like SES, OpenSearch, and Athena. With guided lessons on AWS Cognito, STS, KMS, and Parameter Store, you'll improve your cloud security understanding. By the end of this AWS Developer course, you'll not only understand cloud architecture but will also be able to build it. Walk away with the ability to create safe, scalable applications on AWS. Disclaimer: AWS and Amazon Web Services are trademarks of Amazon.com, Inc. or its affiliates. This course is not affiliated with or endorsed by AWS.
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Unlock the power of advanced AI development! The future of AI is here, and it’s time to learn how to build intelligent, scalable systems that go beyond basic models like ChatGPT and Gemini. This Agentic AI course will teach you how to develop Agentic AI systems using RAG (Retrieval Augmented Generation) and MCP (Model Context Protocol) from scratch. You’ll get hands-on experience setting up a MERN stack environment, integrating cutting-edge tools like Gemini and OpenAI, and creating AI-driven chat applications. Master frontend development using React, TypeScript, and Vite, designing sleek, responsive, and high-performance applications. You’ll also optimize your systems for real-world deployment, ensuring they are scalable and robust. What sets this course apart? You’ll go beyond theory to build real-world AI systems with skills that are in high demand across the industry. Perfect for developers, engineers, and tech enthusiasts eager to break into the AI field. Don’t just learn AI—become a creator of intelligent systems. Enroll today and start building the future of AI!
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Imagine building an AI that doesn’t wait for prompts but actively runs your backend, selects the right tools, and completes tasks end-to-end. Most AI applications are limited to generating answers. But real-world systems require structured execution, intelligent workflows, and scalable architecture and that’s where most developers fall behind. In this course, you will build MCP-based AI systems that go beyond responses. You will implement backend logic using services and controllers, build MCP servers, and define tools, resources, and prompts to enable AI to execute in a controlled manner. Get hands-on experience with tool deployments using Gemini and OpenAI, request-response cycles, and agent controllers that cover autonomous workflows. You will also work with vector databases such as ChromaDB and pgVector to enhance context retrieval, accelerate data ingestion, and produce intelligent AI outputs. This Agentic AI course is designed for developers looking to level up and build agent-powered, production-ready systems for real-world industry needs. Stop building AI that just responds start building AI that operates. Enroll now and lead the next wave of intelligent systems.