Enhancing MLOps: Development of AI Model Pipelines Using GitHub Copilot
By David Santana | 128 Min Video
Watch this insightful webinar that explores how GitHub Copilot can supercharge the development of Generative AI model pipelines. We provide an in-depth look at the fine-tuning process, helping you understand its importance in optimizing model performance.
Learn when and why to fine-tune, along with various techniques that can improve the efficiency of your AI models. We also cover practical implementation strategies to effectively apply these techniques in your workflows.
Whether you’re an AI engineer, Deep Learning Engineer, Data Scientist, MLOps Engineer, or Developer looking to refine your Generative AI projects, this session will equip you with the knowledge and tools to take your model pipelines to the next level.
Don’t miss this opportunity to enhance your AI development skills with cutting-edge tools and techniques!
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Instructor Bio:
David is an AI & Data Multi-Cloud architect and executive engineer, certified trainer, course developer, and cloud evangelist. David’s vision is to drive digital innovation to modernize application frameworks and services. David’s passion for software engineering and data science has made him the lead developer, and lead trainer in various cross-industry projects