Siddhardhan S

Complete Generative AI Course: RAG, AI Agents & Deployment

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Generative AI · Online Course

Complete Generative AI Course: RAG, AI Agents & Deployment Reviews & Product Details

The "Complete Generative AI Course: RAG, AI Agents & Deployment" by Siddhardhan S is a comprehensive roadmap designed to transition developers from Generative AI enthusiasts into production-ready AI Engineers. Starting with the core mechanics of Large Language Models (LLMs) and the foundational Transformer architecture, the course quickly moves into hands-on application development. Students will dive deep into Retrieval-Augmented Generation (RAG) to overcome model knowledge limits by grounding AI responses in custom, proprietary data. The curriculum uniquely covers modern paradigms like Model Context Protocol (MCP) and multi-agent systems, teaching learners how to coordinate multiple specialized agents for complex problem-solving. Beyond local development using Ollama and Streamlit, this course places a heavy emphasis on real-world cloud deployment. You will learn to containerize your AI applications with Docker, optimize LLM serving using vLLM, and deploy production pipelines on AWS EC2. Whether you are a software engineer expanding your toolkit or an AI enthusiast seeking to build a robust professional portfolio, this course provides the structured path and practical engineering skills needed to deploy intelligent, agentic systems at scale.

Best For

Software developers looking to integrate LLMs into production-grade applications. Data scientists interested in transitioning from model training to AI systems engineering. AI enthusiasts who want to master RAG, multi-agent orchestration, and cloud deployment. Engineers seeking to bridge the gap between local prototyping and scalable AWS cloud infrastructure.

Not For

Absolute beginners with no programming experience or familiarity with Python. Individuals seeking a purely theoretical course without heavy focus on cloud deployment and systems architecture. Researchers looking for advanced mathematical proofs of Transformer architectures rather than practical application development.

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About the Creator

is a dedicated educator and technical specialist known for simplifying complex machine learning and generative AI concepts for students across the globe. With a strong foundation in Python and data science, Siddhardhan has built a reputation for creating highly practical, project-based courses that bridge the gap between theoretical knowledge and real-world application. His teaching methodology focuses heavily on the 'learn by doing' philosophy, ensuring that learners do not just watch videos, but actually build functional applications during their study. His course curriculum, covering topics like RAG (Retrieval-Augmented Generation), autonomous AI agents, and production-level deployment, is designed to prepare professionals for the evolving demands of the tech industry. Siddhardhan prides himself on maintaining clear, concise instructional narratives that make advanced topics like neural networks, prompt engineering, and model optimization accessible to learners at all skill levels. By emphasizing clean code practices and scalable deployment strategies, he equips his audience with the essential tools required to succeed in competitive modern development environments. His commitment to student success is reflected in his consistent focus on providing hands-on coding exercises and troubleshooting common errors, making him a trusted guide for those looking to master AI and data technologies effectively.

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