Overview
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This specialization 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 specialization.
Unlock the potential of LangChain and large language models (LLMs) to create innovative applications. You will develop 15 real-world applications using Python, integrating tools like OpenAI, Hugging Face, and LLAMA 2. The specialization is structured around practical projects that introduce key concepts in sequential modules. Topics include memory management, text embeddings, prompt engineering, and chain models. With each project, you’ll master unique features of LangChain, such as building question-answering systems and conversational agents, while performing data processing tasks.
Unlock the potential of LangChain and LLMs with this comprehensive specialization designed for AI enthusiasts and developers. From setting up your development environment to mastering core principles of LLMs.
Designed for AI enthusiasts and developers with basic Python knowledge, this specialization takes you from setting up your development environment to mastering core principles of LLMs. By the end, you will be able to build intelligent applications, understand memory management, prompt engineering, and agent architecture, and create adaptive AI agents for real-world challenges.
Syllabus
- Course 1: LangChain MasterClass: Build 15 LLM Apps with Python
- Course 2: The Complete LangChain & LLMs Guide
- Course 3: Building Autonomous AI Agents with LangGraph
Courses
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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. Unlock the power of LangChain and large language models (LLMs) to create innovative applications. In this course, you'll learn to develop 15 real-world applications that integrate LLMs using Python, giving you hands-on experience with tools like OpenAI, Hugging Face, and LLAMA 2. You will start by understanding the fundamentals of LangChain and gradually move towards building sophisticated applications like chatbots, data analysis tools, resume screening apps, and more. The course is structured around practical projects that introduce key concepts in sequential modules. You'll explore topics like memory management, text embeddings, prompt engineering, and chain concepts. With each project, you'll master a unique feature of LangChain, such as implementing question-answering systems, conversational agents, and data processing tasks. By the end of the course, you'll have built a diverse portfolio of applications, including a support chatbot, invoice extraction bot, and a YouTube script generator. Whether you're looking to enhance your AI skills or jumpstart your career in AI development, this course will provide the tools, knowledge, and practical experience you need. This course is ideal for developers, data scientists, and AI enthusiasts looking to dive deeper into building language model-powered applications. It is suitable for those with a basic understanding of Python, and no prior experience with LangChain is necessary.
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Updated in May 2025. This course now 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. Unlock the potential of LangChain and Large Language Models (LLMs) with this comprehensive course designed for AI enthusiasts and developers. From foundational concepts to building advanced applications, you’ll gain hands-on expertise in integrating cutting-edge AI tools to solve real-world challenges. Begin your journey by setting up your development environment, including Python and essential APIs, to create an optimized workspace. Dive deep into the core principles of LLMs and LangChain, exploring their components like chains, agents, memory, and parsers. Through engaging videos and hands-on exercises, you’ll learn to construct AI-driven solutions with precision and scalability. As the course progresses, you’ll tackle real-world projects, such as a newsletter generator, PDF data extractor, and multi-document chatbot. You’ll also explore creative implementations like an image-to-text recipe generator, gaining practical experience with tools like Streamlit, HuggingFace, and Chroma DB. Whether you're an AI enthusiast or a seasoned developer, this course offers valuable insights and practical skills. A basic understanding of Python is recommended, making this course suitable for learners at an intermediate level.
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Updated in May 2025. This course now 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. Unlock the potential of autonomous AI agents with LangGraph in this comprehensive course. Designed for developers and AI enthusiasts, you’ll learn to build intelligent, adaptive agents capable of processing complex queries, maintaining state, and integrating human feedback for enhanced decision-making. By the end of this course, you'll have a hands-on understanding of AI agent architecture, key frameworks, and real-world applications. The journey begins with an introduction to AI agents, setting up your environment, and a demo of what you’ll achieve. Next, dive deep into AI agents’ functionality as you build your first agent using the OpenAI API. Experience practical examples of automation, interactivity, and complex query processing to enhance your agent’s capabilities. In the LangGraph module, you’ll explore the framework’s core concepts, from state management to tool integration. You’ll learn to add memory, human-in-the-loop mechanisms, and graphical interfaces for comprehensive AI solutions. The course culminates with a capstone project where you’ll develop an AI financial report writer agent, showcasing your mastery of LangGraph. This course is ideal for intermediate developers with basic Python knowledge looking to advance their AI expertise. Whether you’re building tools for automation or exploring new AI paradigms, this course will elevate your skills and set you apart in the AI landscape.
Taught by
Packt - Course Instructors