Want to explore the intersection between human expertise and AI, whilst gaining an IBM certified qualification? Explore our artificial intelligence series. Discover our foundation course. Or, if you're more experienced, we've got intermediate and advanced courses!
Understand the evolution and relevance of Artificial Intelligence in the world today
Explore the intersection between human expertise and machine learning
Analyse existing and future implementations of AI solutions across industries
Hands-on experience with IBM Cloud services, IBM Watson Discovery, and more
Explore an end-to-end case study of a law firm affected by the COVID-19 pandemic
AI ethics practices including fairness, accountability, value alignment and explainability
Explore machine learning algorithms and techniques
Understand deep learning and its industry applications
Understand computer vision and its relationship with deep learning
Understand the evolution and relevance of Artificial Intelligence for the enterprise, and implementation trends across several industries, including autonomous-vehicles, robotics, and the job market.
2. Industry Adoption Processes for AI
Understand the application of Artificial Intelligence technologies across different industries, and how these might change in the future.
Level 2 – Understanding Language
3. Natural Language Understanding
Understand how AI interprets human language and explore natural language processing and natural language understanding technologies.
4. Client Sentiment Analysis
Acquire hands-on experience with IBM Cloud services, IBM Watson Discovery, IBM Language Translator, Text-to-Speech, Speech-to-Text and IBM Tone Analyser to extract metadata from content such as concepts, entities, keywords, categories, sentiment, emotion, relations, and semantic roles using natural language understanding. Involves interactive case study.
5. Virtual Assistant
Gain hands-on experience with IBM Watson Assistant to learn how to remove the frustration of long wait times, tedious searches, and unhelpful chatbots for customers and improve the customer journey and experience. Involves interactive case study.
Level 3 – AI-Human Interactions
6. AI Conversational Agents
Involving an interactive case study, this module allows you to explore how AI can achieve advanced conversations for deeper human interactions.
7. Unbiased, Inclusive AI
Learn about AI ethics practices including: fairness, accountability, user data rights, value alignment and explainability.
Explore the innerworkings of machine learning and deep learning tools and techniques, as well as different applications across industries.
2. Computer Vision
Explore the innerworkings of computer vision and how it can be implemented through different simulations and experiments. Understand the link between computer vision and deep learning and gain hands-on experience with IBM Watson Visual Recognition to classify and train deep learning models.
Level 2 – Trustworthy VR and AI Research Trends
3.Visual Recognition in Practice
Involving an interactive case study where a leading law firm assists a traffic monitoring entity on ethical adoption of computer vision technology, you will role play the personas involved, such as Chief Policy Officer, AI Ethics Consultant, AI Developers, and AI Ethics Official.
4. AI Future Trends
Identify the sociocultural impact of visual recognition technology now and in the future, and embrace an ethical roadmap for adoption which leads to benefits for society.
IBM is a leading cloud platform and cognitive solutions company. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 350,000 employees serving clients in 170 countries. With Watson, the AI platform for business, powered by data, we are building industry-based solutions to real-world problems. For more than seven decades, IBM Research has defined the future of information technology with more than 3,000 researchers in 12 labs located across six continents. For more information, visit ibm.com/this-is-ibm
Armen Pischdotchian - Academic Developer
IBM Corporation, Cambridge, MA
Armen is currently an Academic Developer at IBM Global University Programs. In this role, he drives adoption of IBM technologies with faculty and students worldwide with the IBM Academic Initiative and the IBM Skills Academy to grow skills in key technology areas including artificial intelligence, data science, cognitive security, blockchain and more. He is also lead course developer and instructor or the artificial intelligence and data science curriculum for the Skills Academy offerings.
Armen is also an Adjunct Professor at Wentworth Institute of Technology in Boston. His evening classes includes topics on artificial intelligence, including statistical and mathematical constructs of machine learning algorithms; plus, data science doctrines using hands on labs using Python in Jupyter Notebooks. The semester ends with an elaboration on Blockchain technologies as it relates to consensus, provenance, immutability and finality.
Bob Dill - CTO State Farm Global Markets Team
IBM Global Markets
Bob is a Distinguished Engineer, Master Architect, and currently serving as the CTO for the Global Markets team supporting State Farm. He is the author of the Zero to Cognitive and Zero to Blockchain series previously offered through IBM Redbooks. He has designed, written and deployed cloud-native, AI-based, mobile and web applications for education, training and sales.
Upkar Lidder - Technical Lead, Call for Code for Racial Justice
IBM Cloud and Cognitive Software
Upkar is the senior software engineer with 10+ years in IT development including team management, functional and technical leadership roles with a deep experience in full stack technology. Upkar has authored multiple courses on Coursera and edX. Currently focused on Cloud Native technologies, he can be seen speaking at various conferences and participating in local tech groups and meetups. Upkar went to graduate school in Canada and currently resides in the United States.
Once you enrol on the series, it's self-paced, so you can learn at your own speed and progress through the individual modules in a way that suits you. You will progress through them in order as the course is set up to constantly build your knowledge throughout.
After completing this course, you will receive an IBM Badge, awarded by the IBM Skills Academy. They are secure, web-enabled credentials that contain granular, verified information employers can use to evaluate an individual's potential. After completing the program, you'll receive your badge from UK Learns via email.
The courses are divided into practice levels. Each course covers more advanced topics and builds up on top of the concepts, practice and skills addressed on the previous levels. You will be your own guide on this course, using your current skillsets to navigate the learning modules on the course at your own pace.
After each module, you'll complete some knowledge check questions to ensure you have understood everything in the module.
Foundation - This badge earner has completed all the learning activities included in this online learning experience, including hands-on experience, concepts, methods, and tools related to the artificial intelligence domain. The individual has demonstrated knowledge and understanding of the foundations of Artificial Intelligence for business, including the following topics: AI evolution, AI industry adoption trends, Natural language processing and Virtual agents.
Intermediate - This badge earner has completed all the learning activities included in this online learning experience, including hands-on experience, concepts, methods, and tools related to exploring the ethical adoption of AI technologies in the enterprise. The individual has demonstrated skills and understanding of the use of AI technologies for business, including AI industry adoption trends, AI ethical considerations, Natural language processing, and Virtual agents.
Advanced - This badge earner has completed all the learning activities included in this online learning experience, including hands-on experience, concepts, methods, and tools related to the advanced concepts for AI adoption in the enterprise. The individual has demonstrated the application of advanced skills in the field of AI, including Machine learning, Deep learning, Visual recognition, AI ethics, and their application in real-world use cases.
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