Generative AI Courses

You can start learning Prompt engineering by understanding AI language models like ChatGPT and basic prompt structuring techniques. Practice writing clear, specific instructions and experiment with different prompting styles to see how AI responds. Take online courses or tutorials that teach prompt engineering fundamentals, and join online communities where you can learn from experienced practitioners. Start with simple tasks, gradually increase complexity, and keep refining your skills by analysing and improving your prompts.

Some of the best courses for learning Generative AI are the programs that are dedicatedly designed around Generative AI, like the Generative AI for Business course. The advanced Artificial Intelligence courses from prestigious universities like John Hopkins, IITB, and others are some of the best programs for learning Generative AI. These programs reward you with prestigious certificates, making you eligible for AI jobs worldwide.

The Generative AI Microsoft course introduces you to Generative AI and helps you solve complex business problems through various LLMs. It will also teach you to use prompt engineering for better data-driven services. You can also gain Azure AI capabilities through this program.

We offer Gen AI certificate courses, and to get the most out of these courses, you should:

• Practice regularly with hands-on projects
  
  
• Join AI communities and discussion forums
  
  
• Stay updated with the latest developments
  
  
• Build a portfolio of practical applications
  
  
• Network with other learners and professionals

After completing the Generative AI courses or modules under the courses, you will be rewarded with the certificates of completion that you showcase on social handles and in your resume

Key modules in a Generative AI course include:

• Foundations of Generative AI
  
  
• Prompt Engineering
  
  
• Python for Generative AI
  
  
• ChatGPT and Applications
  
  
• NLP
  
  
• Deep Learning Essentials

The prestigious universities and institutions like MIT IDSS, IITB, Johns Hopkins, The, UT Austin, Microsoft and others are offering courses in collaboration with Great Learning. You can have a look at the complete list of Generative AI courses here.

In a Generative AI course, you will learn about various essential tools and technologies for creating and implementing Generative AI applications. A few of them are:

• Large Language Models (LLMs) like Open AI's ChatGPT, 
  
  
• Generative Adversarial Networks (GANs) for generating realistic images and other media.
  
  
• Prompt Engineering
  
  
• Ethical AI Practices

During the course, you will gain hands-on experience with Generative AI tools by working on industry-relevant projects. These projects will allow you to apply the concepts learned in class to real-world scenarios, helping you develop practical skills using various Generative AI technologies. These projects will prepare you well for the real challenges at work.

These Generative AI courses prepare you for real-world applications by providing hands-on experience with industry-relevant projects and tools. You will get practical projects that include assignments and projects simulating real-world scenarios. You will learn to use popular Generative AI tools and technologies, such as OpenAI's GPT models, DALL-E for image generation, and various coding frameworks. This familiarity helps you to use these tools effectively in professional settings. You will work with teams and study real-world case studies to learn how to put best practices into real-world work challenges.

Students will receive comprehensive and dedicated career support, including career prep sessions. You will receive help in creating an e-portfolio showcasing your skills and expertise. A dedicated program advisor will resolve your queries related to the program. Many courses also offer career counselling, interview preparation, and connections to industry professionals to support students' career development. However, you should check with your program advisor regarding the details.