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Artificial Intelligence
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Integra Technology School 1

Generative AI with LLMs

  • up to 4 weeks
  • Intermediate

This course provides an in-depth understanding of generative AI and large language models (LLMs). Learners will gain practical skills in implementing and optimizing these models, preparing them for advanced roles in AI and machine learning.

  • Generative AI
  • Large Language Models
  • Model Optimization
  • Natural Language Processing
  • Deep Learning

Overview

In this comprehensive course, you will explore the fundamentals and advanced concepts of generative AI and large language models (LLMs). The curriculum covers practical applications, model optimization techniques, and ethical considerations. By the end of the course, you will be equipped with the skills to implement and deploy generative AI models in real-world scenarios, enhancing your career prospects in the AI and machine learning fields.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Professional Certification
    upon course completion
  • Self-paced
    course format
  • Live classes
    delivered online

Who is this course for?

Data Scientists

Professionals looking to enhance their skills in generative AI and large language models.

Machine Learning Engineers

Engineers aiming to implement and optimize generative AI models in their projects.

AI Enthusiasts

Individuals interested in understanding and working with the latest advancements in AI technology.

This course offers key benefits such as mastering generative AI and LLMs, covering essential topics for AI professionals, and providing practical skills for career advancement. Ideal for data scientists, machine learning engineers, and AI enthusiasts.

Pre-Requisites

1 / 3

  • Basic understanding of machine learning concepts

  • Familiarity with Python programming

  • Experience with data analysis and manipulation

What will you learn?

Introduction to Generative AI
Overview of generative AI concepts and applications.
Understanding Large Language Models
Detailed exploration of LLMs and their functionalities.
Implementing Generative AI Models
Hands-on implementation of generative AI models using Python.
Optimizing Model Performance
Techniques for optimizing the performance of generative AI models.
Ethical Considerations in AI
Discussion on the ethical implications and considerations in AI.
Deploying AI Models
Strategies for deploying generative AI models in real-world applications.
Data Preprocessing for AI
Methods for preparing and preprocessing data for AI models.

Upcoming cohorts

  • Dates

    start now

Price upon request