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Starts 7 June 2026 16:17

Ends 7 June 2026

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Next-Gen Workplace Automation with GenAI

Unlock AI-powered automation to transform productivity using ChatGPT, Claude AI, and Crew AI while building multi-agent systems and measuring ROI across business contexts.
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Overview

Leverage AI-powered automation to transform personal and professional productivity through hands-on experience with cutting-edge tools like ChatGPT, Claude AI, and Crew AI. Learn to automate tasks, generate reports, enhance customer support, and implement enterprise-level AI solutions that drive efficiency and innovation.

Build practical skills in designing multi-agent systems, creating AI-driven workflows, and measuring ROI from automation initiatives across diverse business contexts.

Syllabus

  • Course Introduction
  • Overview of Workplace Automation
    Introduction to Generative AI Tools: ChatGPT, Claude AI, and Crew AI
  • Understanding AI-Powered Automation
  • Key Concepts and Terminologies
    Benefits and Challenges of AI in the Workplace
  • Tools and Technologies
  • Deep Dive into ChatGPT
    Exploring Claude AI and Its Applications
    Introduction to Crew AI for Enterprise Solutions
  • Automating Personal Productivity
  • Automating Routine Office Tasks
    Intelligent Calendar Management and Scheduling
    AI-Driven Email Management
  • Enhancing Professional Productivity
  • Generating Reports and Data Summaries
    AI Tools for Enhanced Document Management
    Streamlining Communication with AI Agents
  • AI in Customer Support
  • Implementing AI Chatbots for Customer Service
    Escalation Handling and Agent Handover
    Enhancing Customer Interaction Using AI Analytics
  • Designing AI-Driven Workflows
  • Creating Multi-Agent Systems
    Designing AI Workflows for Dynamic Environments
    Integrating AI Tools into Existing Processes
  • Measuring the Impact of Automation
  • Analyzing ROI from AI Initiatives
    Metrics and KPIs for AI Performance
    Case Studies on Successful AI Automation Deployments
  • Implementing Enterprise-Level AI Solutions
  • Scaling AI Solutions Across the Organization
    Ensuring Data Security and Privacy in AI Deployments
    Strategic Planning for AI Adoption
  • Future of AI in the Workplace
  • Emerging Trends and Innovations in AI Automation
    Preparing for AI-Driven Business Transformation
  • Hands-On Projects and Capstone
  • Practical Application of AI Tools
    Final Project: Developing an AI-Driven Solution for a Business Context
  • Course Wrap-Up
  • Reviewing Key Learnings
    Resources for Ongoing Learning and Development

Taught by

Arkadi Avanesyan, Christopher Klaus, Julian Jenkins, Kelley O'Connell, Starweaver, Vinita Silaparasetty and Yash Thakker


Subjects

Computer Science