Overview
AI is increasingly used to streamline workflows and optimize efficiency. This course highlights practical AI tools that can support better decision-making and automate repetitive tasks.
Syllabus
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- Introduction to AI in the Workplace
-- Overview of AI and its significance in modern business
-- AI technologies and terminology
- Understanding AI and Machine Learning
-- Basics of machine learning and data models
-- Types of AI: Supervised, Unsupervised, and Reinforcement Learning
- AI Tools and Platforms
-- Introduction to Microsoft AI tools for business
-- Overview of cloud-based AI services
- AI for Efficiency and Productivity
-- Automation of repetitive tasks
-- Process optimization and AI-driven decision making
- Natural Language Processing (NLP) in Business
-- Applications of NLP: chatbots, sentiment analysis, and language translation
-- Tools for implementing NLP
- Data-Driven Decision Making
-- Understanding the role of data in AI
-- Data collection, cleansing, and management best practices
- AI Ethics and Responsible Use
-- Discussing the ethical considerations of AI implementations
-- Ensuring bias-free and secure AI applications
- Case Studies and Real-World Applications
-- Examining successful AI integrations in various industries
-- Lessons learned from AI adoption
- Developing an AI Strategy
-- Steps to integrate AI into existing business processes
-- Identifying AI opportunities within your organization
- Hands-On Workshop
-- Practical exercises using Microsoft AI tools
-- Participants develop a basic AI model for a business problem
- Conclusion and Future Trends
-- Recap of key learning points
-- Exploring emerging AI trends and their potential impact on future workplace productivity
Taught by
Tags
On-Demand
