Generative AI and Large Language Models (LLMs)

This theme delves into the fascinating field of Generative AI and Large Language Models (LLMs), where machines learn to understand, generate, and manipulate human language. It offers learners the opportunity to explore how modern AI can write stories, answer complex questions, translate languages, generate code, and assist in decision-making.

“This theme is designed for learners of all levels, from AI beginners to professionals looking to apply LLMs in real-world projects. It aligns with current trends in digital transformation and AI-powered automation and includes a blend of theory, tools, and use-case-driven instruction.”

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Generative AI has rapidly emerged as a transformative force in fields such as education, healthcare, business, and creative industries. This theme introduces the underlying principles of LLMs — deep learning models trained on massive text corpora — such as GPT (OpenAI), BERT (Google), and LLaMA (Meta). Learners will explore topics like tokenization, attention mechanisms, and transfer learning, and engage in practical labs using platforms like Hugging Face, OpenAI API, and LangChain. Hands-on activities include: Designing effective prompts to control AI-generated output Fine-tuning pre-trained models for specific domains Building chatbots, writing assistants, and AI tutors Evaluating model bias, hallucination, and ethical risks Participants will also learn how to deploy LLMs through cloud services or lightweight local inference models, optimizing for latency, cost, and security. Real-world case studies are provided from industries such as finance, legal, customer service, and content creation. Whether you're a student, developer, or domain expert, this theme provides both foundational knowledge and advanced skills to harness the full potential of Generative AI responsibly and effectively.