What will you learn in GTx: Foundations of Generative AI course
- This course provides a structured introduction to Generative AI (GenAI) and its impact across industries.
- Learners will understand how generative models create text, images, audio, and other content using deep learning techniques.
- The course emphasizes foundational concepts such as neural networks, large language models (LLMs), and diffusion models.
- Students will explore practical use cases of GenAI in business, education, design, and software development.
- Ethical considerations, bias, and responsible AI deployment are also discussed to ensure safe implementation.
- By the end of the course, participants will gain conceptual clarity on how generative AI systems are built, evaluated, and applied.
Program Overview
Foundations of Generative AI
⏳ 1–2 Weeks
- Understand what generative AI is and how it differs from traditional AI.
- Learn about neural networks and deep learning basics.
- Explore real-world applications of generative systems.
- Develop a high-level understanding of model training processes.
Large Language Models and Generative Systems
⏳ 1–2 Weeks
- Study the architecture behind large language models (LLMs).
- Understand prompt engineering and model interaction.
- Explore text, image, and multimodal generation techniques.
- Analyze strengths and limitations of generative systems.
Responsible AI and Real-World Applications
⏳ 1–2 Weeks
- Learn about bias, fairness, and ethical AI considerations.
- Understand risks such as hallucinations and misinformation.
- Explore enterprise adoption strategies.
- Apply GenAI tools in practical business scenarios.
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Job Outlook
- Generative AI skills are rapidly becoming essential in technology, marketing, design, finance, and education sectors.
- Professionals with GenAI knowledge are in demand for roles such as AI Product Specialist, Machine Learning Engineer, AI Consultant, and Data Scientist.
- Entry-level AI professionals typically earn between $90K–$115K per year, while experienced ML engineers and AI specialists can earn $130K–$180K+ depending on specialization and region.
- As organizations integrate AI into workflows, understanding generative systems provides a competitive advantage.
- This course serves as a strong foundation for advanced AI, machine learning, and deep learning programs.
