AI for Business
Learn the techniques for integrating Artificial Intelligence (AI) into business in this course designed for business executives, managers and IT specialists.
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Course Description
- Understand AI technology and its applications, including an overview of machine learning, tailored to both non-technical and technical tracks, allowing alignment with various professional backgrounds.
- Develop hands-on experience in AI and Machine Learning (ML) modeling using Python, including building algorithms, predicting scores, and categorizing classes and clusters from data.
- Communicate effectively with stakeholders across business, IT, and data analytics to create customized AI solutions that fit specific business requirements, bridging the gap between technical and non-technical teams.
- Explore AI applications in various industries such as finance, retail, and healthcare, and recognize the challenges associated with AI implementation, thereby equipping learners to anticipate and mitigate potential obstacles in real-world scenarios.
Course Prerequisites
- Possess a fundamental understanding of statistics, probability, algebra, and calculus
- Coding experience is not necessary, as the course caters to both technical and non-technical tracks and includes instruction in coding.
What You Will Learn
By the end of this course, learners will be able to:
Understand Artificial Intelligence (AI) capabilities and applications, including its future potentials, giving them a strong foundation in the field.
Develop technical thinking for building machine learning algorithms, and identify business opportunities and challenges in creating AI solutions, enhancing their problem-solving skills.
Communicate effectively with business stakeholders, IT specialists, and data analysts on constructing AI solutions such as sentiment engines and facial recognition systems, fostering collaboration across disciplines.
Cultivate awareness of business challenges, ethical and policy issues while developing AI solutions, ensuring that they can approach AI implementation with a balanced and responsible perspective.
Course Outline
Module 1: Course introduction
Module 2: ML model
Module 3 Python basics
Module 4: Building AI system for customer service
Module 5: AI for finance
Module 6: AI for retail
Module 7: AI for health care
Instructors
Sameer Maskey is the Founder and CEO of Fusemachines Inc, a company that makes Artificial Intelligence accessible to everyone through education, software and services. Dr. Maskey has more than 18 years of experience in artificial intelligence, natural language processing, machine learning, and data science. After completing his PhD in Computer Science from Columbia University, he joined IBM Watson Research Center where he invented various statistical algorithms to improve speech-to-speech translation and question answering systems.
Sameer currently serves as an Adjunct Assistant Professor at Columbia University where he teaches several courses including “Statistical Methods for Natural Language Processing” and “Programming for Entrepreneurs”. He has published more than 20 peer-reviewed articles and served as Session Chair, Program Committee member, and Review Committee member at ACL, HLT, ICASSP, NAACL and COLING. Sameer is an inventor of 15 United States patents and has authored over 20 publications.
Please note that there are no instructors or course assistants actively monitoring this course.