Course Objective
This comprehensive course is focused to make AI enthusiasts learn the skills needed to harness the power of LLMs effectively. From understanding foundational concepts to fine-tuning models and engineering prompts, participants will gain hands-on experience using popular platforms such as ChatGPT .
Suitable For
This course is essential for all the Professionals seeking to enhance their AI skillset . Business Analysts and Product Managers can use it to learn indispensable skills to enhance their productivity and performance while Data Scientists, Machine Learning Engineers, NLP Researchers and Practitioners can master the art of prompt engineering to achieve desired outcomes.
In today’s fast changing AI driven technological landscape, proficiency in leveraging AI language models (LLMs) has become imperative for businesses and professionals across diverse domains. Ambeone’s LLM training Course in Dubai provides clarity & understanding on how to use advance AI tools like Large Language Models , Prompt Engineering and ChatGPT .
Course Structure
Module I :Overview – What are Large Language Models
- Introduction to Artificial Intelligence and Natural Language Processing (NLP)
- Understanding the architecture and mechanics of language models
- Exploring pre-trained models and their applications
- ChatGPT & Prompt Engineering
Module II : Popular Platforms and Tools
- Utilizing ChatGPT for conversational AI applications
- Harnessing LLMs for text classification and information retrieval
- Comparative analysis of various LLM platforms and tools
Module III : Prompt Engineering for LLMs
- Crafting effective prompts for desired outputs
- Strategies for bias mitigation and fairness in prompt engineering
- Advanced techniques for enhancing prompt-response interactions
Module IV : LLM Fine-Tuning Techniques
- Hands-on practice with fine-tuning LLMs for specific tasks
- Optimizing hyperparameters and training strategies
- Evaluating fine-tuned models for performance and effectiveness
Module V: Business Case Studies
- Customer Support Automation: Implementing conversational AI to streamline customer service interactions and enhance user experience.
- Content Generation and Personalization: Leveraging LLMs to generate personalized content at scale for marketing and engagement purposes.
- Other case studies as per participants profile
Key Learning Outcomes:
Gain a deep understanding of the principles underlying AI language models
Acquire proficiency in fine-tuning LLMs for specific tasks and domains
Master the art of prompt engineering to achieve desired outcomes
Explore diverse business cases and applications of LLM technologies
Delivery Mechanism
Face to Face Interactive Classes
Hands-on workshops, and real-world case studies
Access to cutting-edge LLM platforms and tools for practical exercises
Dedicated mentorship and support throughout the course duration
Certification
Participants will receive a certificate of completion, recognizing their proficiency in AI language models and their applications.
Course Duration
16 Hours of Instructor Led Sessions
+
10+ Hours of Case Studies & Assignments and Capstone Project
Course Format
2 Full Days Training
or
Four Weekend Session for Public batches