Everyday AI Business Tools
Everyday AI Business Tools
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 50m | 174 MB
Instructor: Doug Rose
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 50m | 174 MB
Instructor: Doug Rose
There are many business needs that AI tools can help solve: logistics, market analysis, customer support, inventory prediction, and more. But without a technical background, it can be difficult to make the connection between these challenges and the AI technology and tools that can help solve them. This course links common business needs to practical AI-based solutions, so you can build or buy the best AI systems for your organization.
Instructor Doug Rose explains how AI can automate customer service, including phone, online chat, and even in-person interactions. He shows how business logistics can benefit from automated decision-making and data retrieved from IoT devices. He also discusses machine learning for making better predictions for sales, purchasing, and many other aspects of your business. Along the way, Doug reviews top AI tools, including TensorFlow, Amazon Web Services, and Microsoft Azure. By taking this course, you can leverage the untapped potential of AI to take your business to the next level.
Learning objectives
- Analyze the differences between predictive and generative artificial intelligence to understand their specific applications and tools.
- Explain the roles of machine learning algorithms, such as k-nearest neighbors and Naive Bayes, in classifying and clustering data.
- Develop a foundational understanding of artificial neural networks and their use in deep learning systems.
- Identify the significance of large language models in transforming AI-based communication and prediction systems.
- Compare the utility of Python and TensorFlow in building machine learning models and accessing APIs for AI applications.
- Evaluate the benefits and challenges of using open-source AI tools and commercial AI platforms in organizational settings.
Everyday AI Business Tools
