Top Generative Artificial Intelligence AI Courses in 2024

In recent years, generative ai has grown in popularity, transforming fields such as text generation, image creation, and code development. Its ability to automate and improve creative tasks makes it a valuable skill for professionals in all industries. Learning generative ai is crucial to remaining competitive and harnessing the potential of technology to innovate and improve efficiency. This article lists the best generative ai courses that provide comprehensive training to help you master this technology, improve your professional skill set, and stay ahead in a rapidly evolving job market.

<h3 class="wp-block-heading" id="h-introduction-to-generative-ai-learning-path-specialization”>Introduction to Specialization in the Generative ai Learning Path

This course offers a comprehensive introduction to generative ai, covering large language models (LLM), their applications, and ethical considerations. The learning path consists of three courses: Generative ai, Large Language Models, and Responsible ai.

<h3 class="wp-block-heading" id="h-generative-ai-for-everyone”>Generative ai for everyone

This course provides a unique perspective on the use of generative ai. It covers how generative ai works, its applications and its limitations, with practical exercises for practical use and fast, effective engineering. Its goal is to empower everyone to participate in an ai-powered future.

<h3 class="wp-block-heading" id="h-introduction-to-generative-ai“>Introduction to Generative ai

This beginner course provides a solid foundation in generative ai, covering concepts, effective prompts, and core models. It includes practical examples and practical exercises and explores use cases in various domains such as text, images, and code.

<h3 class="wp-block-heading" id="h-generative-ai-with-large-language-models”>Generative ai with large language models

This course teaches the fundamentals of generative ai with large language models (LLM), including its lifecycle, transformative architecture, and optimization. Covers LLM training, tuning and implementation with practical insights from industry experts.

<h3 class="wp-block-heading" id="h-generative-ai-fundamentals-specialization”>Specialization in generative ai fundamentals

This specialization offers a comprehensive introduction to generative ai, covering models such as GPT and DALL-E, rapid engineering, and ethical considerations. Includes five self-paced courses with hands-on labs and projects using tools like ChatGPT, Stable Diffusion, and IBM Watsonx.ai.

<h3 class="wp-block-heading" id="h-generative-ai-for-data-scientists-specialization”>Specialization in Generative ai for Data Scientists

This IBM specialization is designed for data professionals to learn generative ai, including rapid engineering and applying ai tools in data science. It includes hands-on projects such as generating text, images, and code, as well as creating prediction models.

<h3 class="wp-block-heading" id="h-generative-ai-for-data-analysts-specialization”>Specialization in generative ai for data analysts

This specialization covers generative ai use cases, models and tools for the generation of text, code, images, audio and video. It includes quick engineering techniques, ethical considerations, and hands-on labs using tools like IBM Watsonx and GPT. Suitable for beginners, it offers practical projects to apply ai concepts in real-world scenarios.

<h3 class="wp-block-heading" id="h-generative-ai-for-software-developers-specialization”>Specialization in generative ai for software developers

This IBM specialization teaches software developers how to leverage generative ai to write high-quality code, improving productivity and efficiency. It includes three self-paced courses covering the basics of generative ai, rapid engineering, and tools like GitHub Co-pilot and ChatGPT, with hands-on projects to apply skills in real-world scenarios.

<h3 class="wp-block-heading" id="h-ibm-developing-generative-ai-applications-with-python”>IBM: Developing Generative ai Applications with Python

This course teaches generative ai modeling through hands-on projects using Python, Flask, Gradio, and frameworks like Langchain. You will build applications with LLM such as GPT-3 and Llama 2 and explore augmented recall generation and voice-enabled chatbots.

<h3 class="wp-block-heading" id="h-ai-generative-ai-and-llms-on-aws”>ai: Generative ai and LLM on AWS

This course teaches deploying generative ai models like GPT on AWS through hands-on labs, covering architecture selection, cost optimization, monitoring, CI/CD pipelines, and compliance. It is ideal for machine learning engineers, data scientists, and technical leaders, providing real-world training for production-ready generative ai using amazon Bedrock and cloud-native services.

Using GenAI to automate software development tasks

This course teaches how to optimize development workflows with generative ai, use ai pair programming tools like CodeWhisperer, master rapid engineering, and understand the role of Rust and Python in MLOps. Includes hands-on experience with AWS services such as Code Catalyst, SageMaker, and Lightsail.

<h3 class="wp-block-heading" id="h-ai-prompt-engineering-for-beginners”>Quick ai Engineering for Beginners

This course focuses on rapid engineering for ai language tools like ChatGPT. Offers hands-on practice and guidance in formulating effective directions.

<h3 class="wp-block-heading" id="h-generative-ai-for-business-leaders”>Generative ai for business leaders

This course provides business leaders with essential knowledge about generative ai and its tools to adapt and implement this transformative technology. By the end, you will understand how generative ai can revolutionize business operations and gain the skills necessary for successful implementation.

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