AI & ML Foundations

A non-mathematician’s and data science beginners’ course to how AI algorithms work and how to use them in practice.

Overview:

4 hours of video training

• Learn how AI algorithms work, including large language models (used by ChatGPT), deep learning, reinforcement learning, and unsupervised learning
• See examples of how these algorithms work through intuitive live demonstrations
• Use development kits such as Tensorflow, Pytorch, and Sckitlearn
• Get real-world, practical hands-on examples using Python and Jupyter Notebook so you can get started with your own AI projects right away

AI & ML Foundations demystifies the world of AI and LLMs. It teaches you how to apply the tools of Artificial Intelligence Markup Language (AI/ML) to solve problems faster, automate processes, find hidden patterns, and accelerate your work. Additionally, you will get an inside look into the world of AI, learning about passcode terms like LLMs, ChatGPT, TensorFlow, and Pytorch, along with explanations and examples that clarify what the many underlying algorithms, such as K-Means, SVM, XG Boost, and DBSCAN can do.

Related learning

• Sign up for AI and ML Algorithms for Non-mathematicians and Data Science Beginners by Rob Barton and Jerome Henry

About the Instructor

Rob Barton is a Distinguished Engineer with Cisco. Rob has worked in the IT industry for more than 26 years, the last 23 of which have been with Cisco. Rob graduated from the University of British Columbia with a degree in Engineering Physics. He is a published author, with titles on subjects of Quality of Service (QoS), wireless communications, and IoT. Additionally, he has co-authored many peer-reviewed research papers and leads Cisco’s academic research partnership program. Rob holds numerous patents in the areas of wireless communications, network security, cloud networking, IoT, and Machine Learning. His current areas of work include wireless communications of all types, IT/OT convergence, network automation, and AI/ML in networking systems.

Jerome Henry is a principal engineer in the Office of the Wireless CTO at Cisco. His main field of research is around optimization of client performances in unlicensed wireless networks, which includes Machine Learning, IoT, indoor location, QoS, and privacy. Jerome has more than 20 years experience teaching technical courses in more than 15 different countries and 4 different languages, to audiences ranging from graduate degree students to networking professionals and technical support engineers. Jerome joined Cisco in 2012. Before then, he was consulting and teaching heterogeneous networks and wireless integration with the European Airespace team, which was later acquired by Cisco to become its main wireless solution. Jerome is a certified wireless networking expert (CWNE No. 45), CCIE, and has developed multiple courses and authored several wireless books and video courses. Jerome holds more than 300 patents, is a member of the IEEE, where he was elevated to Senior Member in 2013, and represents Cisco with Wi-Fi Alliance working groups. He is based in Research Triangle Park, North Carolina.

Skill Level

Intermediate

Course Requirement

None

About Pearson Video Training

Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Sams, and Que. Topics include IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video.