LangChain: Building AI-Powered Applications Training Course
LangChain is an open-source framework engineered to streamline the creation of applications leveraging large language models (LLMs).
This instructor-led, live training (available online or in-person) targets intermediate developers and software engineers aiming to develop AI-driven applications using the LangChain framework.
Upon completing this training, participants will be equipped to:
- Comprehend the core principles of LangChain and its constituent parts.
- Integrate LangChain with large language models such as GPT-4.
- Construct modular AI applications utilising LangChain.
- Resolve common challenges encountered in LangChain applications.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical practice.
- Hands-on implementation within a live laboratory environment.
Customisation Options
- To request a bespoke training session for this course, please get in touch with us to make arrangements.
Course Outline
Introduction to LangChain
- Overview of LangChain and its purpose
- Setting up the development environment
Understanding Large Language Models (LLMs)
- LLMs vs traditional models
- Capabilities and limitations of LLMs
LangChain Components and Architecture
- Core components of LangChain
- Understanding the architecture and workflow
Integrating LangChain with LLMs
- Connecting LangChain to LLMs like GPT-4
- Building chains for specific tasks
Building Modular Applications
- Creating modular components with LangChain
- Reusing components across different applications
Practical Exercises with LangChain
- Hands-on coding sessions
- Developing sample applications using LangChain
Advanced LangChain Features
- Exploring advanced functionalities
- Customising LangChain for complex use cases
Best Practices and Patterns
- Coding best practices with LangChain
- Design patterns for AI-powered applications
Troubleshooting
- Identifying common issues in LangChain applications
- Debugging techniques and solutions
Summary and Next Steps
Requirements
- Fundamental knowledge of Python programming
- Familiarity with AI concepts and large language models
Target Audience
- Developers
- Software engineers
- AI enthusiasts
Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793
LangChain: Building AI-Powered Applications Training Course - Enquiry
Related Courses
Advanced LangGraph: Optimization, Debugging, and Monitoring Complex Graphs
35 HoursAI Automation with n8n and LangChain
14 HoursThis instructor-led, live training in Botswana (online or onsite) is aimed at developers and IT professionals of all skill levels who wish to automate tasks and processes using AI without writing extensive code.
By the end of this training, participants will be able to:
- Design and implement complex workflows using n8n's visual programming interface.
- Integrate AI capabilities into workflows using LangChain.
- Build custom chatbots and virtual assistants for various use cases.
- Perform advanced data analysis and processing with AI agents.
Automating Workflows with LangChain and APIs
14 HoursThis instructor-led, live training in Botswana (online or onsite) is designed for beginner-level business analysts and automation engineers who wish to understand how to use LangChain and APIs for automating repetitive tasks and workflows.
By the end of this training, participants will be able to:
- Understand the fundamentals of API integration with LangChain.
- Automate repetitive workflows using LangChain and Python.
- Utilize LangChain to connect various APIs for efficient business processes.
- Create and automate custom workflows using APIs and LangChain’s automation capabilities.
Building Conversational Agents with LangChain
14 HoursThis instructor-led, live training in Botswana (online or onsite) is aimed at intermediate-level professionals who wish to deepen their understanding of conversational agents and apply LangChain to real-world use cases.
By the end of this training, participants will be able to:
- Understand the fundamentals of LangChain and its application in building conversational agents.
- Develop and deploy conversational agents using LangChain.
- Integrate conversational agents with APIs and external services.
- Apply Natural Language Processing (NLP) techniques to improve the performance of conversational agents.
Ethical Considerations in AI Development with LangChain
21 HoursThis instructor-led, live training in Botswana (online or onsite) is aimed at advanced-level AI researchers and policy makers who wish to explore the ethical implications of AI development and learn how to apply ethical guidelines when building AI solutions with LangChain.
By the end of this training, participants will be able to:
- Identify key ethical issues in AI development with LangChain.
- Understand the impact of AI on society and decision-making processes.
- Develop strategies for building fair and transparent AI systems.
- Implement ethical AI guidelines into LangChain-based projects.
Enhancing User Experience with LangChain in Web Apps
14 HoursThis instructor-led, live training in Botswana (online or onsite) targets intermediate-level web developers and UX designers who wish to leverage LangChain to create intuitive and user-friendly web applications.
By the conclusion of this training, participants will be able to:
- Grasp the fundamental concepts of LangChain and its significance in enhancing web user experience.
- Implement LangChain within web apps to develop dynamic and responsive interfaces.
- Integrate APIs into web applications to bolster interactivity and user engagement.
- Optimize user experience through LangChain’s advanced customization features.
- Analyze user behavior data to refine web app performance and experience.
Integrating LangChain with Cloud Services
14 HoursThis instructor-led, live training in Botswana (online or onsite) is designed for advanced data engineers and DevOps professionals who want to leverage LangChain’s capabilities by integrating it with various cloud services.
Upon completion of this training, participants will be able to:
- Integrate LangChain with major cloud platforms including AWS, Azure, and Google Cloud.
- Utilise cloud-based APIs and services to enhance LangChain-powered applications.
- Scale and deploy conversational agents to the cloud for real-time interaction.
- Implement monitoring and security best practices within cloud environments.
LangChain for Data Analysis and Visualization
14 HoursThis instructor-led, live training in Botswana (online or in-person) targets intermediate-level data professionals seeking to utilise LangChain to enhance their data analysis and visualisation skills.
By the end of this training, participants will be able to:
- Automate data retrieval and cleansing using LangChain.
- Execute advanced data analysis using Python and LangChain.
- Produce visualisations with Matplotlib and other Python libraries integrated with LangChain.
- Employ LangChain to generate natural language insights from data analysis.
LangChain Fundamentals
14 HoursThis instructor-led, live training in Botswana (online or onsite) is aimed at beginner-level to intermediate-level developers and software engineers who wish to learn the core concepts and architecture of LangChain and gain the practical skills for building AI-powered applications.
By the end of this training, participants will be able to:
- Grasp the fundamental principles of LangChain.
- Set up and configure the LangChain environment.
- Understand the architecture and how LangChain interacts with large language models (LLMs).
- Develop simple applications using LangChain.
