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We're here to help you find itUnlock advanced skills in Large Language Model (LLM) Development and Deployment with our comprehensive 3-day course. Learn essential techniques like Tokenization, Text Embedding, and Image Embedding in Data Preprocessing. Gain insights into Responsible AI and GenAI by focusing on Fairness, Transparency, and Accountability. Enhance security with modules on Security Challenges and Measures. Optimize models using Pruning, Quantization, and Compression. Ensure smooth operations post-deployment with Monitoring Systems, Drift Detection, and Issue Resolution. Finally, master Cloud Deployment using Microsoft Azure. Hands-on labs and use cases solidify theoretical knowledge, ensuring practical application. Elevate your LLM expertise today!
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♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
Prerequisites for Advanced Techniques in Large Language Model Development and Deployment:
To successfully undertake training in the Advanced Techniques in Large Language Model Development and Deployment course, we recommend that students possess the following minimum required knowledge:
Basic Understanding of Machine Learning Concepts: Familiarity with fundamental machine learning principles, such as supervised learning, unsupervised learning, and model evaluation.
Programming Skills: Proficiency in programming languages commonly used in machine learning, particularly Python.
Experience with Neural Networks: Basic knowledge of neural network architectures and how they are trained, which will be built upon throughout the course.
Familiarity with Data Preprocessing Techniques: Understanding of basic data preprocessing steps such as tokenization and text embedding.
Introductory Knowledge of Cloud Platforms: Awareness of cloud services, such as Microsoft Azure, and basic skills in setting up and managing cloud infrastructure.
These prerequisites ensure that our students have a solid foundation to build upon, maximizing their learning experience and enabling them to effectively grasp the advanced techniques covered in the course.
The Advanced Techniques in Large Language Model Development and Deployment course is tailored for IT professionals looking to enhance their expertise in machine learning, responsible AI, and cloud deployment strategies.
1. Introduction: The "Advanced Techniques in Large Language Model Development and Deployment" course is a comprehensive 3-day training designed to equip students with the skills needed for effective LLM data preprocessing, responsible AI, security measures, model optimization, monitoring post-deployment, and cloud deployment.
2. Learning Objectives and Outcomes:
Data Preprocessing for LLM Training:
Responsible AI and GenAI:
Security Perspectives in GenAI:
Model Optimization Techniques for GenAI Models:
