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Businesses around the world are adopting automation to improve productivity and reduce operational costs. In this program, you will learn how to design and build automated systems using AI-driven tool...
Duration
Instructor-Led
Lectures
3 Modules
Level
All Levels
Businesses around the world are adopting automation to improve productivity and reduce operational costs. In this program, you will learn how to design and build automated systems using AI-driven tools and workflow platforms. You will work on real-world automation scenarios such as automating data processing, connecting software tools, building AI-powered assistants, and developing systems that streamline business operations.
No specific prerequisites. Just a passion to learn!
What AI automation engineering really means in practice, Key concepts:, LLMs, AI automations, AI agents, How APIs work (client–server model), How APIs power real-world automations, OpenAI API fundamentals:, Pricing, Project setup, Usage management, Compliance considerations, Function calling in LLMs (how AI executes structured tasks), Vector databases, embeddings, and RAG, Overview of automation tools:, n8n, Zapier, Make, Flowise, LangChain, CrewAI, Prompt engineering basics for automation workflows
Setting up your AI automation environment, What n8n is and why it’s used for advanced automations, Navigating the n8n interface, Understanding triggers, actions, and conditions, Integrating LLMs into workflows, Updating and managing n8n instances, Understanding cloud vs self-hosted setups
What Retrieval-Augmented Generation (RAG) is, Embeddings and vector databases (ChromaDB, FAISS), Chunking and indexing documents, Teaching LLMs your own data, Adding memory to AI workflows, Managing context in follow-up conversations