Gain in-depth skills in building applications with large language models (LLMs) through this advanced generative AI course. The course equips you with practical knowledge to develop, fine-tune, and deploy LLM applications across industries using LangChain.
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Advanced Generative AI - Building LLM Applications
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Master Large Language Model (LLM) application development
This 22-hour course delves into the complexities of building LLM-powered applications, providing the expertise needed to harness the full potential of advanced generative AI for a range of applications, from chatbots to content generation tools.
Learning objectives
- Design LangChain workflows for generative AI applications
- Apply advanced prompt engineering techniques for tailored outputs
- Develop LLM applications and fine-tune models for specific tasks
- Evaluate capabilities for summarisation, Q&A, translation, chatbots, and sentiment analysis
What you'll learn
This comprehensive course on advanced generative AI for LLM application building will provide you with hands-on experience in LLM application development. Learn to customise and deploy models that meet the needs of your projects and enhance user experiences.
LangChain and workflow design
Learn advanced prompt engineering techniques using LangChain to enhance the power of generative AI for your business.
LangChain for LLM application development
Learn to use LangChain, a powerful framework for developing LLM-based applications. LangChain enables you to build efficient, context-aware applications with advanced capabilities like multi-step reasoning, API calls, and memory management.
Benchmarking and evaluating of LLM capabilities
Gain insights into benchmarking LLM performance by measuring accuracy, relevance, and response quality. Learn the tools and metrics to evaluate and compare LLMs, helping you choose and optimise models that best meet your application’s needs.
LLM fine-tuning and customisation
Explore techniques for fine-tuning LLMs to create tailored applications, enabling you to customise LLMs for specific tasks, industries, or user preferences, enhancing relevance and performance.
What's included
- 22 hours of instructor-led training in a virtual classroom setting
FAQs
In this Advanced Generative AI training in building LLM applications, you’ll gain practical knowledge for developing large language model applications, with insights into customisation, summarisation, Q&A, translation, chatbots, and sentiment analysis.
Is prior AI knowledge necessary?
Some machine learning basics are recommended, but foundational concepts will be reviewed.
What is the advantage of building and using an LLM?
LLMs offer a significant advantage over less advanced generative AI by providing a deeper understanding of language context, enabling them to generate more coherent, relevant, and nuanced responses. This makes LLMs ideal for complex tasks such as content creation, conversational AI, and sentiment analysis, where accuracy and contextual relevance are critical.
How can I apply these skills in my career?
You’ll learn practical skills to develop scalable applications, making this course ideal for professionals wanting to integrate AI into real-world applications.
How is this course delivered?
This course is delivered through 22 hours of instructor-led training in a virtual classroom setting. Our virtual courses provide the personal teaching experience of a classroom with the ease and flexibility of a virtual environment. All the benefits, without the travel!
What our customers say
"The quality of education provided is comparable to none. Great stuff!"
Jerrold Edwards, ILX learner
"I cannot fault this; the course has been perfect. I would highly recommend ILX. They are quick to answer on the phone and on email."
Arun Prathapan, ILX learner
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