Regular Price: £420 Batch Price: From £420 📅 View Dates & Prices Course Overview The Agentic AI & Automation with Python course is designed to help learners build intelligent AI systems that go beyond generating responses to actively performing tasks and automating workflows. This hands-on course focuses on creating AI agents that can interact with tools, use APIs, process information, and make decisions to complete real-world tasks. You will learn how to design, build, and deploy AI agents using modern LLM techniques, including prompt engineering, function calling, memory, and multi-step reasoning. By the end of the course, you will be able to develop automation solutions such as AI assistants, workflow automation systems, and intelligent business tools that can significantly improve productivity and efficiency. Requirements Participants should have Basic to intermediate Python skills Understanding of machine learning concepts Familiarity with neural networks (recommended) Experience using APIs and working with data in Python Software Requirements Python (latest stable version) Jupyter Notebook or VS Code Required Python libraries (provided during the course) Access to LLM APIs (e.g., OpenAI or similar) Hardware Requirements A laptop or desktop computer Minimum 8GB RAM (16GB recommended) Stable internet connection (required for API access) We highly recommend you complete the following course(s) before attending the Agentic AI & Automation with Python course: Generative AI and LLMs with Python Course Content Introduction to Agentic AI What is Agentic AI AI vs LLM vs AI agents Automation vs intelligence Real-world examples How AI Agents Work Agent architecture Input → Reasoning → Action → Output Tools and memory Decision loops Prompting for Agents Structured prompts for actions System prompts vs user prompts Role-based prompting Guiding decision-making Hands-on: designing prompts for automation tasks Using Tools & APIs with Agents Connecting agents to tools Calling APIs from AI Function calling concept Integrating external systems Hands-on: build an agent that fetches real data Building Your First AI Agent Simple agent design Task-based agents Chaining steps Project: Build a task automation agent Memory & Context in Agents Short-term vs long-term memory Maintaining conversation context Storing and retrieving information Multi-Step Reasoning & Workflows Breaking tasks into steps Planning and execution Workflow automation Chaining actions Project: Build a multi-step AI workflow Retrieval & Knowledge Integration Integrating knowledge sources RAG with agents Document-based reasoning Hands-on: build an agent that answers from documents Business Automation with Agents Automating business processes Email automation Reporting systems Decision support tools Project: Build a business automation agent Deployment of AI Agents Deploying agents as APIs Integrating into applications User interfaces (simple) Hands-on: deploy agent system Safety, Control & Limitations Hallucinations in agents Controlling actions Risk management Safe automation practices Final Capstone Project Option 1 - AI Personal Assistant Option 2 - Business Workflow Automation System Option 3 - Intelligent Document Processing Agent Course Dates, Prices & Enrolment All Training Physical Classes Virtual Classes UTC British Time (UK, Ireland, Iceland) Central European Time (France, Germany, Sweden) Eastern European Time (Finland, Cyprus) Eastern Time (New York, Toronto, Montreal) Central Time (Chicago, Houston, Winnipeg) Mountain Time (Calgary, Denver, Edmonton) Mountain Time (Phoenix) Pacific Time (Los Angeles, Seattle, Vancouver) Singapore Time Arabic Standard Time (Qatar, Saudi Arabia) Gulf Standard Time (UAE, Oman) Australian Eastern Time (Sydney, Melbourne) Western Australia Time (Perth) New Zealand Time China Standard Time (China, Taiwan, Hong Kong) Scroll right for more details There is no date for this course at this moment. Please complete the BOOKING REQUEST FORM below or come back to this page again later.