Generative AI, ChatGPT, Copilot & AI Agents Masterclass 2025

Übersicht

This course is designed to unlock the potential of Generative AI and Microsoft Copilot to transform business processes, enhance decision-making, and drive innovation. This comprehensive course equips professionals with cutting-edge skills to harness AI tools such as ChatGPT, Gemini, Claude, DeepSeek, and Microsoft Copilot for a wide range of business applications.

Lehrplan

• Introduction to Generative AI and AI Agents
Overview of Generative AI
Key AI Agents: ChatGPT, Gemini, Claude, DeepSeek, and Microsoft Copilot
Impact and applications in business processes
• Understanding Generative AI Models
Fundamentals of AI and machine learning
Evolution of AI models and their capabilities
Comparison of popular AI models: GPT, Gemini, Claude, etc.
• ChatGPT in Business Applications
Natural language processing and its business applications
Designing conversational agents with ChatGPT
Case studies: Customer support, content creation, and more
• Microsoft Copilot: Enhancing Productivity
Overview of Microsoft Copilot capabilities
Integration with Microsoft tools: Word, Excel, Teams, etc.
Practical workflows: Automating tasks and enhancing collaboration
• Gemini and Claude: Advanced AI Capabilities
Exploring Gemini's functionalities and use cases
Applications of Claude in business intelligence and analytics
Strategies for effective deployment in enterprise settings
• DeepSeek: AI for Information Retrieval
Fundamentals of AI-driven search and data retrieval
Leveraging DeepSeek for enhanced knowledge management
Integration with existing enterprise systems
• AI-Driven Decision-Making
Building predictive models and data-driven strategies
Enhancing decision-making processes with AI insights
Best practices in AI ethics and governance
• Driving Innovation with AI Agents
Identifying opportunities for AI-driven innovation
Developing AI innovation strategies
Case studies of successful AI deployments in various industries
• Implementing AI Solutions: Challenges and Considerations
Understanding AI deployment challenges in enterprises
Ensuring data security and privacy in AI applications
Addressing ethical implications of AI in business
• Future Trends in Generative AI and AI Agents
Emerging trends and technologies in AI
Preparing for the future of AI-enabled business transformation
Exploring potential disruptions and opportunities
• Capstone Project
Designing and implementing an AI solution for a real-world problem
Presentations and peer reviews of project solutions
Feedback and future learning pathways

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Unterrichtet von

Dr. Ryan Ahmed | 400K+ Students | Best-Selling Professor | 250K+ YouTube and Stemplicity Inc.

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Fachgebiete

Computer Science