Welcome to Lenovo Pro Academy's 'AI PCs for Business' online course! This course is designed to provide you with the knowledge and practical skills needed to navigate the rapidly evolving world of artificial intelligence (AI) and harness its power in business settings. Whether you're new to AI or looking to deepen your understanding, this course will equip you with the tools necessary to thrive in today's AI-driven marketplace. Course goals include:
1. Develop a Comprehensive Understanding of AI and Its Components
Learners will gain a thorough knowledge of the history, key concepts, and future trends in AI, including machine learning, deep learning, neural networks, and generative AI. This will equip them with a foundational understanding necessary for navigating and utilizing AI technologies effectively in various business contexts.
2. Foster Awareness and Strategies for Ethical AI Use
Through modules focused on the societal implications of AI, ethical concerns, and emerging regulations, learners will understand the importance of transparency, fairness, and accountability in AI. They will learn to identify and mitigate biases, prevent AI mishaps, and promote ethical AI practices within their organizations, ensuring responsible and sustainable AI adoption.
3. Equip Learners with Practical Skills for Implementing AI in Business, Specifically Through the Use of AI PCs
Learners will be equipped with practical skills for leveraging AI PCs to enhance business productivity and decision-making. This includes understanding the benefits and functionalities of AI PCs compared to traditional PCs, the role of Neural Processing Units (NPUs), and the significance of TOPS (Tera Operations Per Second) in AI performance. By learning to effectively integrate AI PCs into their business strategies, learners will be able to optimize processes, automate high-impact tasks, and drive innovation using advanced AI capabilities.
In Module 2: Working with AI, we will cover:
· Definition and key concepts of generative AI
· Applications of generative AI (art, text, music)
· Overview of notable generative AI models (GPT, DALL-E)
· Benefits and challenges of using generative AI
AI Generated Content for Your Business
· Comparison of cloud-based AI services (AWS, Google Cloud, Azure)
· Introduction to AI development environments (Jupyter, Colab)
· Key features and functionalities of popular AI tools
· How to choose the right AI tool for your business needs
· Techniques for crafting effective prompts
· Examples of good and bad prompts
· Tools and platforms for experimenting with prompts
· Tips for optimizing prompts for different AI applications
Evaluating Output & Identifying Bias
· Common metrics for assessing AI performance (accuracy, precision, recall)
· Techniques for identifying and mitigating bias in AI models
· Real-world examples of AI bias and its impact
· Role of human oversight in evaluating AI output
How to Choose the Right AI Tool for Your Business Needs
· Key technologies behind text generation (GPT, BERT)
· Applications of AI in media creation (video, music, art)
· Ethical considerations in AI-generated content
· Tips for integrating AI-generated content into business strategies
· Overview of Microsoft CoPilot and its features
· How Microsoft CoPilot integrates with business applications
· Key functionalities and use cases
· Tips for maximizing the effectiveness of Microsoft CoPilot