Foundations of LLMs and Deep Learning for Text Analysis
This course introduces the foundational concepts of large language models (LLMs) and deep learning techniques for text analysis, a critical skill set in today’s AI-driven landscape. As organizations increasingly rely on intelligent systems to process and interpret language data, understanding these technologies has become essential for modern professionals. Throughout the course, learners will explore how deep learning models analyze and extract meaning from textual data, gaining practical insights into real-world NLP applications. By studying the architecture and working principles of transf
Skills you'll learn
We may earn a commission if you enroll through our links — it never affects the price you pay.
Similar courses
CEO Playbook: Generative AI
Generative AI is revolutionizing executive leadership, acting as the most significant cognitive multiplier since the dawn of the digital age. CEOs who treat AI as a strategic thought partner are significantly more likely to outperform competitors in growth and innovation. Far from a fleeting trend, generative AI marks a transformative shift in how leaders think, communicate, and drive change. The GenAI CEO Playbook equips senior executives with practical frameworks to integrate AI into leadership, enhancing decision quality while preserving the authentic leadership voice. Grounded in real-wor
All levels
Sustainable Cloud Development
This course teaches how to design and optimize cloud workloads that reduce environmental impact without compromising performance or scalability. You will learn sustainable strategies essential for modern cloud and GenAI-driven systems. Throughout the course, you will analyze carbon footprint, optimize resource consumption, and apply cost-efficient architectural patterns to real implementations. These skills will help you meet sustainability goals while improving operational outcomes. Hands-on examples and real-world cloud architectures connect sustainability principles directly to practical
All levels
Building and Fine-Tuning LLM Applications
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this comprehensive course, you'll learn how to build and fine-tune large language models (LLMs) for real-world applications. Starting with fundamental concepts, you'll progress through hands-on projects that focus on document-based retrieval-augmented generation (RAG) systems, LangChain integration, and fine-tuning techniques. You'll gain the skills to build custom ap
All levels
Introduction to Embedded Machine Learning
Machine learning (ML) allows us to teach computers to make predictions and decisions based on data and learn from experiences. In recent years, incredible optimizations have been made to machine learning algorithms, software frameworks, and embedded hardware. Thanks to this, running deep neural networks and other complex machine learning algorithms is possible on low-power devices like microcontrollers. This course will give you a broad overview of how machine learning works, how to train neural networks, and how to deploy those networks to microcontrollers, which is known as embedded machine
All levels