In the next seven years, the value of the AI industry is expected to grow by more than 13 times. By 2026, the US AI market is expected to grow to $299.64 billion. Through 2030, the AI market is expected to grow at a compound annual growth rate of 38.1%. Up to 97 million people will be employed in the AI industry by 2025. Generative AI holds the potential to bring about revolutionary breakthroughs in a number of fields. Generative AI is going to push the envelope in terms of creativity and innovation in everything from music and art composition to content production and medicine discovery. It will provide customized experiences, produce lifelike simulations, and help resolve challenging issues. Nonetheless, moral questions about content produced by AI and its possible misuse continue to be vital.
Importance of Generative AI
Broadly applicable to a wide range of commercial disciplines, generative AI facilitates the automated generation of new content while simultaneously making it easier to understand and interpret already-existing content. Developers are investigating how to use generative AI to optimize and improve current workflows, as well as to completely reconfigure workflows in order to fully realize the potential of this technology.
Why enroll in a course on generative AI?
Selecting a generative AI course opens up a world of creative possibilities. It gives students the ability to create music, painting, and more without the need for traditional abilities. Learning generative AI opens doors to creation and presents a rare chance to influence the direction of creativity and technology. It has applications in a wide range of sectors, including entertainment and design. Generative AI can be applied to a wide range of use cases and fields to produce a variety of content types. This technology is now more widely available and adaptable to a wider range of uses because to recent developments like GPT. The size of the global market for generative AI was estimated at USD 43.87 billion in 2023, and it is expected to increase at a compound annual growth rate (CAGR) of 39.6% from USD 67.18 billion in 2024 to USD 967.65 billion by 2032.
Growth in the Generative AI Sector
A revolution has been brought about by the remarkable capabilities of Generative AI in simplifying and executing a wide range of activities. The sheer volume of businesses using this specialized area of artificial intelligence (AI) in content creation, natural language processing (NLP)—such as creating chatbots for customer service and interaction—image synthesis, complex problem solving, data augmentation, creativity enhancement, personalization, research, and other areas—makes this clear. For those with the necessary skills, it has created a ton of job prospects. Roughly 70% of workers are presently working on generative AI in their place of employment, according to the Global Workforce of the Future Report 2023. About half of them lack topic competence. Furthermore, up to 57% of respondents say they are eager for training to help them do their jobs more effectively
CURRICULUM
Artificial Intelligence Models
- Changes in Power
- Message GPT
- Rapid Engineering
- Development of Product
- Use Flask to Launch Web Application
Generative AI
- An Introduction
- Overview, History, and Evolution
- Applications
- Ethical considerations
- Fundamental Algorithms
- Platforms and tools
Technical Foundations
- The Basics of Machine Learning
- Neural Networks
- Generative models
- Training Methods
- Data preparation and evaluation metrics.
Project Work and Advanced Topics
- Advanced Generative Frameworks
- Customization and Fine
- Tuning Ethics and Bias Reduction Case Studies from the Industry
- Project Capstone
- Prospective Patterns
