| Location | Delivered By | Language | Date | Action | |
|---|---|---|---|---|---|
| No schedule date's available now. | |||||
| Location | Delivered By | Delivery Mode | Language | Date | Action | |
|---|---|---|---|---|---|---|
| 0 | GKT | WBT | English | 4-Mar-2024 | Contact For Pricing | Contact For Pricing |
| 0 | GKT | WBT | English | 11-Mar-2024 | Contact For Pricing | Contact For Pricing |
| 0 | GKT | WBT | English | 18-Mar-2024 | Contact For Pricing | Contact For Pricing |
| 0 | GKT | WBT | English | 25-Mar-2024 | Contact For Pricing | Contact For Pricing |
Tell us a little about yourself:
Unleash the Power of Large Language Models with LangChain
Embrace the next frontier of AI (Artificial Intelligence) development with LangChain, the groundbreaking framework that empowers you to harness the full potential of large language models (LLMs).
In this comprehensive course, you will master the art of building intelligent applications using LangChain, gaining hands-on experience in creating chatbots, question answering systems, and more.
No prior experience with LLMs or LangChain is required. Whether you are a seasoned developer or a curious newcomer, this course will equip you with the skills and knowledge to become a LangChain expert.
The program aims to ensure that anyone can actively participate in our AI-powered future. It provides a valuable opportunity for individuals from various backgrounds and levels of expertise to learn about and effectively utilize generative AI. By equipping learners with the necessary knowledge and skills, this course enables them to harness the potential of generative AI and contribute to its advancement in a collaborative and inclusive manner.
Developers interested in building AI applications with LLMs.
Anyone curious about the future of AI and the role of LLMs.
Anyone can attend the course.
1. Introduction to LangChain
2. Evolution of LangChain
3. Importance in Business
4. Real-World Applications
5. LangChain vs. Traditional Language Models
6. Challenges and Solutions
7. Module Summary and Key takeaways
LAB: 1 Introduction to Langchain
1. Understanding Nodes in LangChain
2. The Concept of Chains
3. Command Processing in LangChain
4. Integration with Existing Systems
5. Customizing LangChain for Business Needs
6. LangChain’s Scalability
7. Data Handling and Privacy in LangChain
8. Error Handling and Debugging in LangChain
9. Extending LangChain with Custom Nodes
10. Performance Optimization in LangChain
11. LangChain’s Application in Different Industries
12. Future Developments in LangChain
13. Best Practices for Implementing LangChain
14. Recap and Key Takeaways
LAB: 2 Prompting and Parsing
LAB: 3 Prompt Templating
1. Building Composable Pipelines with Chains
2. Conversational Memory
3. Retrieval Augmentation
4. AI Agents
LAB: 4 Memory
LAB: 5 LangChain Chains
LAB: 6 Langchain Documents Loaders
LAB: 7 Langchain Agents
1. Introduction to Module 4
2. Benefits of Implementing LangChain
3. Steps for Successful Implementation
4. Case Studies
5. Best Practices
6. Cultural Sensitivity
7. Security and Compliance
8. Training and Skill Development
9. Monitoring and Continuous Improvement
10. Challenges and Solutions
11. Future Trends
LAB: 8 Vector DataBases and Advanced Retrieval
1. Insightful Journey: Understanding real-world implications and strategies behind successful LangChain implementations.
2. Diverse Industries: In-depth case studies from E-commerce, Financial Services, and Healthcare.
3. Learning Objectives: Gain insights into challenges and innovative approaches, and extract best practices for your own business applications.
4. Module Goal: Equip with practical knowledge and actionable insights for leveraging LangChain technology in business.
Course Wrap-up
Summary of Key Concepts
Case Studies Revisited
Practical Applications
Future of LangChain in Business
Project: Building Chat Bot with Langchain