CONTENT
1. Generative AI Overview
1.1 Introducing generative AI
1.2 Understanding LLMs
2. LangChain for LLM Apps
2.1 Going Beyond Stochastic Parrots
2.2 LangChain Overview
2.3 Exploring key components of LangChain
2.4 Understanding the Functionality of LangChain
2.5 Comparing LangChain with other Frameworks
3. Getting Started with LangChain
3.1 Exploring API Model Integrations
3.2 Exploring Local Models
3.3 Building an Application for Customer Service
4. Building Capable Assistants
4.1 Summarizing Information
4.2 Extracting Information from Documents
4.3 Answering Questions with Tools
5. Building a Chatbot like ChatGPT
5.1 Introduction to Chatbots
5.2 Understanding Retrieval and Vectors
5.3 Loading and Retrieving in LangChain
5.4 Implementing a Chatbot
6. Automating with n8n
6.1 Introduction to n8n
6.2 Automating Tasks with n8n
6.3 n8n integration with Google Sheet Data
6.4 n8n integration with files in Google Drive
6.5 n8n integration with external tools
7. Automating with n8n and flowise
7.1 Introduction to Flowise
7.2 Flowise Integration with n8n
8. Integrating to Instant Messenger Platform (Telegram)
8.1 Introduction to Telegram Messenger Platform
8.2 Setting up Telegram Bot
8.3 n8n & flowise Integration with Telegram Bot
8.4 Deploying Telegram Bot
9. The Future of Generative Models
9.1 The Current State of Generative AI
9.2 Economic Consequences
9.3 Societal Implicationst
Course Features
- Lectures 11
- Quizzes 2
- Duration 32 hours
- Skill level All levels
- Language Indonesia
- Students 8
- Certificate Yes
- Assessments Yes
