Generative AI is a type of artificial intelligence that can create new content such as text, images, code, audio, and other forms of digital content based on user instructions.
Generative AI is being used across software development, marketing, business automation, customer support, education, cybersecurity, content creation, and many other industries.
In this course, you will learn how to use Generative AI tools and technologies to solve practical problems and build useful AI-powered applications.
Generative AI is changing how businesses create content, develop software, analyze information, automate processes, and interact with customers.
Learning Generative AI can help you:
Generative AI Course Curriculum
Depending on the course module, students can get practical exposure to:
After completing the training, you can develop knowledge of:
After developing practical Generative AI skills, learners can explore roles such as:
AI Fundamentals
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Generative AI Concepts
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Prompt Engineering
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AI Tools & Applications
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Large Language Models
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AI APIs & Integration
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RAG & Vector Databases
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AI Automation
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AI Agents
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Real-World Generative AI Projects
Generative AI is a branch of AI that can create new content such as text, images, code, audio, and other digital outputs based on instructions.
The fundamentals can be learned by beginners. More advanced topics such as APIs, RAG, AI agents, and application development require progressive hands-on learning.
Coding knowledge is helpful for advanced modules such as APIs, RAG, AI applications, and AI agents. Beginners can start with AI fundamentals and prompt engineering.
Prompt Engineering is the process of designing and refining instructions given to AI models to achieve useful and consistent results.
Yes. The training can include practical usage of popular Generative AI tools such as ChatGPT and Google Gemini.
Yes. The course covers AI-powered workflows and automation use cases.
RAG, or Retrieval-Augmented Generation, allows an AI application to retrieve relevant information from a knowledge source before generating a response.
Yes. The course can include practical projects involving AI assistants, RAG, automation, APIs, and AI agents.
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