AI For Data Analysts

Artificial intelligence is evolving beyond automation — it’s becoming agentic. AI systems that can gather data, analyze patterns, and make decisions autonomously are transforming industries. This course prepares you to build and deploy AI-powered data agents — without needing prior coding experience. Designed for data-driven professionals, analysts, and business learners, this hands-on program covers the foundations of agentic AI, data pipelines, machine learning basics, and ethical considerations. You’ll explore how AI data agents collect and process real-time information, learn from it, and take action across domains like retail, healthcare, agriculture, logistics, and smart-city environments. Through guided projects and no-code tools, you will build intelligent data workflows, train simple ML models, automate decisions, and design agents that monitor, analyze, and respond to dynamic data. You will also learn responsible AI practices, privacy and compliance essentials, and evaluation methods to ensure reliability and transparency. By the end of the course, you will be able to: Create AI-powered data automations Build and train basic machine learning models Deploy no-code AI agents for real-world use cases

• Master AI Agent Architecture: Learn agent frameworks, memory, planning, & tool-use to build autonomous decision-making systems for real-world tasks
• Build No-Code and Low-Code Agents: Use n8n, Zapier, or agent studios to automate workflows, data handling, and business processes
• Develop ML-Powered Agents: Train models and connect APIs using Python and Scikit-Learn to enable intelligent agent actions
• Deploy Ethical, Reliable Agents: Apply governance, testing, and safety measures to ensure ethical and high-performance AI agents

• Basic familiarity with the topic and its common terminology
• Readiness to practice through applied exercises or case-based work