What you'll learn
Learn about what is Artificial Intelligence and Machine Learning (AI ML)
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
Requirements
No pre-requisites, some familiarity of business scenarios and technology concepts would help
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
Who this course is for
Anyone who wants to stay successful and advance their career in the Digital World
Anyone who is interested to understand what is the hype about AI ML
Anyone who wants to work with Data Scientists or become a data scientist
Any professional who wants to understand the AI ML landscape and business scenarios

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