Building Production-Ready Applications with Large Language Models
In this hands-on-course, learners will gain the necessary skills for building and responsibly deploying a conversational AI application.
Overview
This course includes:
- 1.5 hours of on-demand video
- Certificate of completion
- Direct access/chat with the instructor
- 100% self-paced online
In the age of artificial intelligence (AI), it is essential to learn how to apply the power of large language models (LLMs) for building a variety of production-ready applications. In this hands-on-course, learners will gain the necessary skills for building and responsibly deploying a conversational AI application. By following the demo provided in this course, learners will learn how to develop a FAQ chatbot using HuggingFace, Python, and Gradio. Core concepts from applying prompt engineering to extract the most value from LLMs, to infrastructure, monitoring and security considerations for real-world deployment will be covered. Important ethical considerations such as mitigating bias, ensuring transparency, and maintaining user trust will also be covered to help learners understand the best practices in developing a responsible and ethical AI system.
Skills You Will Gain
Learning Outcomes (At the end of this program you will be able to)
- Analyze the capabilities of large language models for AI applications and apply prompt engineering techniques to optimize their performance.
- Build a conversational FAQ chatbot using HuggingFace and Python, demonstrating advanced application development skills.
- Deploy an LLM application for production readiness with monitoring, security, and reliability features, showcasing higher-order thinking skills in deployment.
- Evaluate strategies to mitigate algorithmic bias, enhance safety measures, and design transparent AI interactions that prioritize user trust.
Prerequisites
- Basic knowledge of programming concepts.
- Familiarity with software development tools and environments.
- Access to a computer with internet connectivity.
Who Should Attend
This course is designed for individuals with a basic understanding of programming and application development concepts. It is suitable for developers, data scientists, AI enthusiasts, and anyone interested in using LLMs to build practical applications.
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.
