"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. " Brian Leek, Data Analyst, May 2022
Workshop Format:
Each module follows a consistent pattern:
Module 1: Foundations of Modern LLMs
Theory Component:
Practical Labs:
Module 2: AI Agents and Framework Implementation
Theory Component:
Practical Labs:
Module 3: Advanced Agent Development
Theory Component:
Practical Labs:
Module 4: Retrieval-Augmented Generation (RAG)
Theory Component:
Practical Labs:
Module 5: Model Fine-tuning and Adaptation
Theory Component:
Practical Labs:
Module 6: Advanced Optimisation Techniques
Theory Component:
Practical Labs:
Module 7: Ethical Implementation and Compliance
Theory Component:
Ethical considerations in AI implementation
This course is designed for technical professionals in data analytics, particularly those working in forensic data analysis and large-scale data processing environments. It's ideal for team members who have strong foundations in Python programming and machine learning concepts, looking to incorporate LLM technologies into their existing data processing pipelines.
Prerequisites
"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. " Brian Leek, Data Analyst, May 2022
“JBI did a great job of customizing their syllabus to suit our business needs and also bringing our team up to speed on the current best practices. ” Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022
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The integration of Large Language Models (LLMs) into enterprise data workflows represents one of the most significant shifts in data analytics and processing capabilities of the past decade. For teams working in data analytics and large-scale data processing, LLMs offer unprecedented capabilities in pattern recognition, data interpretation, and automated analysis. However, moving from theoretical understanding to practical implementation presents unique challenges, particularly in environments where accuracy and reliability are paramount.
This hands-on workshop bridges the gap between LLM theory and practical implementation. Rather than focusing solely on theoretical concepts, we take a learn-by-doing approach, where participants spend approximately 70% of their time working on practical exercises and real-world implementations. Each module combines essential theoretical foundations with extensive hands-on labs, ensuring participants gain practical experience they can immediately apply in their own environments.
While a three-day workshop cannot cover every aspect of this rapidly evolving field, it provides the crucial foundations and practical experience needed to begin implementing LLM solutions effectively. The workshop is designed as a starting point, with the understanding that participants will likely want to explore specific aspects in greater depth through future specialised workshops.
This intensive, hands-on workshop is designed as a foundation for working with LLMs in practice. Participants are encouraged to view this as the beginning of their journey rather than its conclusion. Future specialized workshops will be available for deeper dives into specific aspects of LLM implementation, allowing teams to build on this foundation with more advanced techniques and specific use cases.
The field of LLMs continues to evolve rapidly, and this workshop provides both the practical skills and conceptual framework needed to adapt to new developments while maintaining robust and effective implementations.
Will there be practical exercises and hands-on training sessions?
Yes, the course includes practical exercises and hands-on training sessions aimed at reinforcing your understanding of LLMs and data analysis techniques. You will have the opportunity to apply theoretical concepts in real-world scenarios, allowing for a deeper immersion into the subject matter.
How will this course benefit my career in data analysis?
By mastering LLMs and advanced data analysis techniques, you will significantly enhance your skill set and marketability in the field of data analysis. The knowledge and expertise gained from this course will open up new opportunities for career advancement and enable you to tackle complex data analysis challenges with confidence and proficiency.
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