AI and Language Models in Business Development TMGT 9033

Micro-credential

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Our AI and Language Models in Business Development course provides a comprehensive overview of the latest advancements in the field of conversational AI with large language models (LLMs) – chatbots like ChatGPT – and how they are revolutionizing the business world. Learn about the basics of LLMs, including their architecture, their integration with various platforms, and their applications in various industries. Consider the potential of LLMs to enhance customer engagement, automate workflows, and boost efficiency as well as the ethical and societal implications of this technology and its impact on the workforce. This LLM course uses hands-on labs, demos, articles, and videos to help you build the skills you need to design and implement effective LLMs that drive growth and innovation for your organization. Although this course uses Azure, the knowledge acquired can be applied to other infrastructure platforms. Designed for professionals in the tech, business, and marketing fields, this course is intended for anyone who is looking to gain a deeper understanding of chatbots and their role in shaping the future of work.

This course has been designed and developed by George Brown College Continuing Education in partnership with GlobalDWS.

Note(s)

Passing this course earns you a micro-credential, which is provided to you as a digital badge that can be posted to social media platforms (such as LinkedIn).

Hours and Fees

Hours

15

Fee

$214.28
There are no classes currently scheduled for this course; however, check back to see if we have developed additional schedules for the upcoming term. Classes for our 2025–26 academic year will launch in early July.
Contact Department:
Construction, Technology & Trades Department
Phone:
416-415-5000, ext. 4861
Office Location(s):
Casa Loma Campus, 160 Kendal Ave., Building C (CLC), Room C426

Read about our textbooks policy, and remember that the Continuing Education attendance policy and closure dates differ from those for full-time college programs.