Understanding LLMs and Their Business Applications

This course offers a deep dive into Large Language Models (LLMs), exploring their capabilities, applications, challenges, and future potential in the business landscape.

Reza Moradinezhad Soheil Haddadi

Business | core | 1 hour 15 minutes | Published: Apr 2024

Discussions

Overview

1KSTUDENTS^*

92.6%RECOMMEND^*

This course includes:

75 minutes of on-demand video 
Certificate of completion 
Direct access/chat with the instructor
100% self-paced online

This course offers a deep dive into Large Language Models (LLMs), exploring their capabilities, applications, challenges, and future potential in the business landscape. Through a blend of theoretical insights and practical examples, learners will be able to review, and acquire concepts related to LLMs and their transformative impact on various industries. Today, major organizations use related LLM technologies such as Customer Support Chatbots, Marketing Content Generation, and Software Development tools. The impact of these technologies combined with real time Data Analytics have transformed a wide range of industries, from airlines, advertising agencies, legal firms and health care, just to name a few. Overall, Generative AI is changing the landscape faster than ever. As we dive into the lessons of this course, we will frame our discussions through several cases for marketing, software programming, content creation, and analytics. This course provides a 360° overview of the current abilities of state-of-the-art LLMs for businesses. Moreover, through this course you will learn to identify some of the trends behind LLMs such as Neural Networks, Transformers, Open-Sources models, and APIs.

Skills You Will Gain

Customer Support Chatbots

Data Analytics

Generative AI

Large Language Models (LLMs)

Open-Sources models

Learning Outcomes (At the end of this program you will be able to)

Evaluate the opportunity of LLMs and utilize their capabilities for their business.
Review the opportunities provided by current LLMs, as well as current limitations in certain business applications.
Develop a roadmap to design and implement new business ideas using LLMs.
Analyze current trends of LLMs and work to “cut through the noise.

Prerequisites

Learners should ideally possess the following prerequisite skills:

Basic knowledge about business and startups
Curiosity for the field of AI
General interest about machine learning
AI related technologies

Who Should Attend

Office Professionals, Consultants, Students, Small Business Owners, Automation Enthusiasts

Curriculum

Instructors

Frequently Asked Questions

How much do the courses at Starweaver cost?

We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.

Do you offer any certifications upon completion of a course at Starweaver?

Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

Does Starweaver offer any free courses or trials?

No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.

Are Starweaver's courses designed for beginners or advanced students?

Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.

What payment options are available for Starweaver courses?

We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.

Do you offer refunds?

Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.

^*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.

Understanding LLMs and Their Business Applications

This course offers a deep dive into Large Language Models (LLMs), exploring their capabilities, applications, challenges, and future potential in the business landscape.

Business | core | 1 hour 15 minutes | Published: Apr 2024

Overview

1KSTUDENTS^*

92.6%RECOMMEND^*

This course includes:

75 minutes of on-demand video 
Certificate of completion 
Direct access/chat with the instructor
100% self-paced online

Learning Outcomes (At the end of this program you will be able to)

Evaluate the opportunity of LLMs and utilize their capabilities for their business.
Review the opportunities provided by current LLMs, as well as current limitations in certain business applications.
Develop a roadmap to design and implement new business ideas using LLMs.
Analyze current trends of LLMs and work to “cut through the noise.

Curriculum

1Module 0 - The Significance of Large Language Models (LLMs): Understanding Key Concepts

2Module 1 - Current Landscape of LLM Applications

3Module 2 - Harnessing LLMs: Opportunities, Challenges and Practical Techniques

4Module 3 - Takeaways: Implementing LLMs in Your Own Business

Frequently Asked Questions

How much do the courses at Starweaver cost?

Do you offer any certifications upon completion of a course at Starweaver?

Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

Does Starweaver offer any free courses or trials?

No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.

Are Starweaver's courses designed for beginners or advanced students?

What payment options are available for Starweaver courses?

We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.

Do you offer refunds?

Reza Moradinezhad

Passionate about fostering trustworthy and effective collaboration between humans and artificial intelligence, I am deeply committed to advancing the ethical and responsible use of Generative AI. With a rich academic background, including a PhD in Computer Science from Drexel University, my expertise lies in understanding and enhancing human trust towards Embodied Virtual Agents (EVAs). Through extensive collaborations with prestigious institutions such as MIT Media Lab, CMU HCII, Harvard University, and UCSD, I have contributed impactful research published in renowned venues like Springer Nature, ACM CHI, and ACM C&C. Recognized as an Outstanding Reviewer by ACM ICMI 2019 and ACM CHI 2021, my work has garnered attention from esteemed media outlets like The Next Web, TechXplore, and CBS News. As an Assistant Teaching Professor at Drexel University College of Computing and Informatics, I have had the privilege of shaping the minds of both undergraduate and graduate students, guiding them through courses that delve into crucial topics such as Artificial Intelligence, Software Engineering, and Computer Graphics. My dedication to education extends beyond the classroom as I've mentored research projects exploring diverse realms, from the intricate workings of the human brain during mind-wandering to the effectiveness of creativity support tools in fostering innovation. Additionally, my tenure as an AI Scientist at TulipAI underscores my commitment to bridging the gap between cutting-edge technology and responsible media creation, ensuring that Generative AI is harnessed ethically and responsibly. Driven by a vision of making AI more trustworthy for humanity, I believe in leveraging my skills to design transparent and fair interactions with AI systems. By facilitating the development of robust human-AI collaboration, I aim to harness the full potential of AI as a force for good, grounded in ethical principles and responsible innovation. With a track record of academic excellence, collaborative research, and a passion for ethical AI development, I am poised to make significant contributions to the evolving landscape of Human-AI interaction.