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The “Artificial Intelligence and Machine Learning for Managers” course is designed to provide managers with a comprehensive understanding of AI and machine learning concepts and how they can be applied in business settings. The course covers a range of topics, from basic concepts such as supervised and unsupervised learning to more advanced topics such as deep learning and neural networks.
The curriculum also includes case studies and practical examples of AI and machine learning being used in real-world business scenarios. By taking this course, managers will gain a solid understanding of the potential benefits and limitations of AI and machine learning, and will be better equipped to make informed decisions about how to leverage these technologies to drive business value.
Overall, the course is an excellent choice for managers looking to stay up-to-date on the latest advancements in AI and machine learning and how they can be applied in their organizations.
Artificial Intelligence and Machine Learning for Managers Description
Digital Technologies with Artificial Intelligence (AI) and Machine Learning (ML) are reshaping our world. In this digital world, AI ML takes center stage in every industry. The best examples are how we as consumers consume content, entertainment, shop and interact with each other with our mobile phones.
Many CEOs believe that developing AI ML competency is critical for their business survival and growth. AI ML analyzes big data (text, audio, video, image, structured) and derives insights for appropriate actions. Many organizations are even using AI ML to develop new products and create new business models to serve their customers.
Are you future-ready for this digital world?
Skill up with this course to learn more about AI ML. No programming experience is required. This course is kept short intentionally to make it easily consumable so you leverage key learnings immediately at work,
Understanding AI ML is critical for career growth for both technology and business professionals. Whether in IT, Marketing, Sales, or Business Management, understanding AI ML landscape will help you shine in any conversation. As a result, you will get the recognition you deserve from your leaders.
For leaders, being analytical is not sufficient. Understanding what is possible with digital technologies is essential in this Industry 4.0. This knowledge helps them ask the right questions and fund appropriate projects for business growth.
Learn real-world use cases of AI ML in consumer scenarios and industries
How Industry 4.0 and Digital Transformation are centered around AI
Types of AI – Vision, Text / Natural Language Processing (NLP), Analytics and Interactive AI
Role of Data Scientist and Machine Learning in Advanced Analytics
Machine Learning Model development steps with examples including python code snippets
Learn about ML Pipeline and AI maturity challenges for organizations
