Here is a list of basic Generative AI courses to help you understand the fundamentals of Generative AI and start your career in this field. Explore the courses, learn, and expand your knowledge.
Generative AI is changing industries by creating text, images, and more with advanced machine learning. As this becomes more and more a part of business and creative workflows many people are wanting to understand and use it. If you want to start your generative AI journey there are Generative AI Courses for all levels and areas of interest. Here are some of the best to get you started.
This is a good time to start learning generative AI to secure your future by learning new technology. Start learning so that, at the peak, you have an advanced level of knowledge and become an AI expert.
Why Learn Generative AI Courses?
Learning generative AI can enhance your skills in several ways:
- Creativity Boost: Generative AI tools can help with brainstorming and idea generation, super useful for creatives.
- Career Opportunities: Generative AI opens up new career paths in tech, marketing, data science and more.
- Practical Applications: From content to data analysis generative AI can automate processes and increase productivity across industries.
Recommended Generative AI Courses for Beginners
1. Introduction to Generative AI (Google Cloud)
Microlearning course to get a quick intro to generative AI. It covers the basics and Google tools to build your own apps.
- Duration: 45 minutes
- Certification: Yes
2. Generative AI for Everyone (Deeplearning.ai)
Learn how generative AI works, its pros and cons and practical exercises to try it out.
- Duration: 3 hours
- Certification: Yes
3. Generative AI for Beginners (Microsoft)
On GitHub, this course is a text and video based course to learn generative AI without coding. It also covers real world applications and ethics of this technology.
- Duration: Self-paced
- Certification: No
4. Generative AI Explained (NVIDIA)
This 2 hour course covers the basics and real world applications of generative AI. Perfect for those short on time.
- Duration: 2 hours
- Certification: No
5. Generative AI – A Way of Life (Analytics Vidhya)
A beginner’s course to learn generative AI. You will learn to generate text and images using ChatGPT and DALL·E 3 and real world applications in marketing and content creation.
- Duration: 3 hours
- Certification: Yes
Intermediate Courses for Deeper Learning
Once you have the basics down, move on to these intermediate Generative AI Courses:
6. Getting Started with Large Language Models (Analytics Vidhya)
This course is about mastering large language models (LLMs) with PyTorch. Includes hands on exercises to build advanced NLP applications.
- Duration: 1 hour 20 minutes
- Certification: Yes
7. Building LLM Applications using Prompt Engineering
Go deeper into prompt engineering techniques to maximize LLMs. This course is practical and real world applications.
- Duration: 2 hours
- Certification: Yes
8. Generative AI for Data Scientists Specialization
For data scientists. Generative AI techniques for data science projects, including prompt engineering and model fine-tuning.
- Duration: 1 month
- Certification: Yes
Exploring Advanced Topics in Generative AI
If you want to specialise or integrate generative AI into your job, check out these advanced courses:
9. Generative AI with Large Language Models (AWS + Deeplearning.io)
Practitioner insights on how generative AI solves real world problems and latest research in the field.
- Duration: 6 hours
- Certification: Yes
10. Generative AI: Business Transformation and Career Growth (IBM)
Explore how generative AI is transforming businesses and discover potential career paths within this evolving landscape.
- Duration: 6 hours
- Certification: Yes
Conclusion
Going into generative AI can be fun and rewarding. There are Generative AI Courses for all levels so you can find one that matches your interests and career goals. Whether you want to boost your creativity or start a new career, these resources will give you a solid foundation to understand and use generative AI.
As you go through these courses, remember practical application is key. Get hands on with projects, join community discussions and stay up to date with industry news to get the most out of it.
