Generative & Agentic AI Course
Step into the future of creativity with Generative AI! This course teaches you how AI can produce original text, images, and music, giving you hands-on experience with the tools shaping modern content creation.
Quick Facts
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About this course
Explore the World of Generative AI with Dicecamp’s Complete Training Program Unlock the Power of AI-Driven Creativity Dicecamp’s Generative AI course provides practical knowledge and technical skills to help you leverage this rapidly evolving technology. You will discover how generative models are transforming creative and technical industries through: Text generation: Learn how to produce high-quality written content—ranging from storytelling to business and marketing copy—using advanced AI language models. Image creation: Understand how AI can transform written prompts into realistic and artistic visuals, opening new doors in digital design and media. Music generation: Explore how generative AI can compose original music or support soundtrack and audio production. AI-assisted programming: Gain insight into how AI can support software development by creating code snippets and automating routine tasks. By the end of this online Generative AI course, learners will be able to: Grasp fundamental principles and real-world uses of generative AI. Work confidently with leading generative AI models and tools. Apply generative techniques to produce text, images, music, and even code. Understand ethical issues and future trends related to generative technologies. Dicecamp’s Generative AI certification program prepares you to be part of the next wave of digital innovation. Join now and discover how AI can amplify creativity and productivity.
What you'll learn
Build a strong foundational understanding of generative AI concepts.
Distinguish between generative and discriminative machine learning models.
Understand neural networks and deep learning principles relevant to generative systems.
Learn data collection, cleaning, and preprocessing techniques for training generative models.
Examine practical use cases of generative AI across domains such as text, image, music, and code generation.
Complete hands-on projects applying generative AI to real-world scenarios.
Improve communication skills for presenting and documenting AI-based projects.
Develop analytical skills to assess the advantages and limitations of different generative approaches.
Learn the fundamentals of building AI-powered chatbots.
Course Curriculum
Expand each module to see what you'll learn
8
Modules
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Week 7
Week 8
Requirements
Students in computer science, data science, artificial intelligence, machine learning, or related disciplines.
Researchers working in AI, machine learning, natural language processing, or allied fields.
Individuals seeking to integrate generative AI into personal or professional projects.
Professionals aiming to expand their expertise in areas such as data augmentation, text generation, or image synthesis.
Product managers and developers involved in AI-powered solutions who need to understand both the strengths and limitations of generative AI technologies.