In recent years, generative AI has rapidly gained popularity, transforming fields such as text generation, image creation, and code development. The ability to automate and enhance creative tasks is a valuable skill for professionals across the industry. Generative AI learning is important to keep you competitive and leverage the possibilities of technology to innovate and improve efficiency. In this article, we list the best generation AI courses that offer comprehensive training that will help you master this technology, strengthen your professional skill set, and stay ahead of the rapidly evolving job market.
Introducing the specialization of the Generated AI Learning Path
This course provides a comprehensive introduction to the Generated AI that covers large-scale language models (LLM), its applications, and ethical considerations. The learning path consists of three courses: Generation AI, Large-scale Language Models, and Responsible AI.
Generated AI for everyone
This course provides a unique perspective on using generator AI. It is a practical exercise for practical use and effective rapid engineering, covering how generative AI works, its applications, and its limitations. It aims to enable everyone to participate in an AI-driven future.
Introducing Generating AI
This beginner-friendly course provides a solid foundation for generating AI, covering concepts, effective prompts, and key models. It includes practical examples and practical exercises, and explores use cases in various domains such as text, images, and code.
Generation AI with large language models
This course teaches the fundamentals of generator AI with large language models (LLMS), including lifecycle, trans architecture, and optimization. Covers LLM training, coordination and deployment using actionable insights from industry experts.
Basic specialization of AI
This specialization provides a comprehensive introduction to generation AI covering models such as GPT and Dall-E, rapid engineering, and ethical considerations. This includes five self-pace courses with hands-on labs and projects using tools such as ChatGPT, Stable Diffusion, and IBM Watsonx.ai.
Generation AI for data scientists' specialization
This specialization by IBM is designed for data experts to learn generative AI, including rapid engineering and applying AI tools for data science. It features practical projects such as text, images, code generation, and more, as well as creating predictive models.
Generated AI for data analyst specialization
This specialization covers generation AI use cases, models, and tools for text, code, images, audio, and video generation. This includes rapid engineering techniques, ethical considerations, and practical labs using tools such as IBM Watsonx and GPT. Suitable for beginners and offers practical projects for applying AI concepts to real-world scenarios.
Generated AI for software developer specialization
This IBM specialization teaches software developers to create high-quality code and leverage generation AI to improve productivity and efficiency. This includes three self-pace courses covering generative AI basics, rapid engineering, and tools such as Github Co-Pilot and ChatGpt, as well as hands-on projects to apply skills to real-world scenarios.
IBM: Developing Generated AI Applications Using Python
This course teaches generation AI modeling through practical projects using frameworks such as Python, Flask, Gradio, and Langchain. Build your application using LLMs such as GPT-3 or LLAMA 2 and consider searched generation and voice-enabled chatbots.
AI: Generate AWS AI and LLMS
This course covers deployment of GPT and other generation AI models in AWS via hands-on labs, architecture selection, cost optimization, monitoring, CI/CD pipelines and compliance. Ideal for ML engineers, data scientists and technology leaders, it offers real-world training in production-ready generation AI using Amazon Bedrock and Cloud-Native services.
Use Genai to automate software development tasks
This course teaches you how to streamline your development workflow with AI and use AI pair programming tools such as Codewhisperer, Master Prompt Engineering, and understand the role of Rust and Python in MLOPS. This includes hands-on experience with AWS services such as Code Catalyst, Sagemaker, and Lightsail.
AI Prompt Engineering for Beginners
This course focuses on rapid engineering of AI language tools such as ChatGPT. It provides practical practice and guidance for building effective prompts.
Generation AI for business leaders
This course equips business leaders with essential knowledge about generative AI and their tools to adapt and implement this transformative technology. Finally, you can understand how AI can revolutionize business operations and acquire the skills needed to successfully implement it.
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Shobha is a data analyst with a proven track record in developing innovative machine learning solutions that drive business value.
