Blended Learning – the best of both ways to learn.This course blends the flexibility of self-paced learning with the structure of live, instructor-led sessions. You'll learn from world-class industry experts and gain practical skills [...]
  • QAAILLPY-BL-QA
  • Cena na vyžádání

Blended Learning – the best of both ways to learn.This course blends the flexibility of self-paced learning with the structure of live, instructor-led sessions. You'll learn from world-class industry experts and gain practical skills to drive meaningful results in your workplace. Our digital platform also empowers you to track your progress and manage your learning journey effectively.This course is ideal for anyone new to business analysis or looking to better understand the role and support change. It also supports learners pursuing the Business Analysis International Diploma, either as a foundational starting point or as a comprehensive overview towards the end of their learning pathway.This 3 day course provides an in-depth exploration of Large Language Models (LLMs) and their applications and covers key Generative AI skills expected of AI Engineers.Designed for those with existing knowledge of python, python data packages, and desirably machine learning.This instructor led course will cover essential topics such as LLM architectures, prompt engineering, model monitoring and observability, and working with both vendor-managed and open source models.Additionally, the course introduces the use of agentic workflows and prompt evaluation techniques to help organisations effectively manage AI-driven processes.These later topics are an excellent taster of our Building AI Agents with Python course for those progressing in their AI Engineering journey.

  • Identify and apply knowledge of Large Language Models to build Generative AI applications
  • Interact with LLMs with advanced prompt engineering techniques
  • Select and build with the right models and architectures for an AI application, including when RAG and fine-tuning are appropriate
  • Evaluate, monitor, and optimize speed and performance in an AI system in deployment

Mám zájem o vybraný QA kurz