

Welcome to “Mastering LangChain and AWS: A Guide to Economic Analysis,” the ultimate course designed for individuals eager to dive deep into the world of economic data analysis using cutting-edge technologies. This comprehensive course is meticulously crafted to guide you through the intricacies of LangChain and AWS, equipping you with the knowledge and skills to perform sophisticated economic analyses.
Throughout this course, you will embark on a journey through the fundamentals of LangChain and AWS, exploring how to set up and configure your environment for optimal data analysis. You’ll gain hands-on experience with SQL databases, learning to manipulate and analyze economic data effectively. We’ll delve into the US Treasury Yield Curve, understand business cycles through the lens of the FRED API, and apply theoretical knowledge in practical, real-world scenarios using Google Colab.
By enrolling in this course, you’ll not only master the technical aspects of LangChain and AWS but also learn to apply economic theories using modern data analysis tools. Whether you’re a student, a professional economist, or someone with a keen interest in data analysis, this course will help you enhance your analytical skills, making you invaluable in the job market.
Join us to:
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Master LangChain and AWS for economic data analysis.
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Gain proficiency in SQL and database management.
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Analyze real economic indicators and business cycles.
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Apply your knowledge through hands-on coding labs.
Enroll now and start your journey to becoming an expert in economic data analysis with LangChain and AWS!
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1Mastering LangChain and AWS: Course Intro
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2OpenAI API Key Setup
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3US Treasury Yield Curve
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4St. Louis Fed Web Services: FRED® API
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5US Business Cycle Expansions and Contractions | NBER
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6Lab: Colab | Data tables setup Part 1
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7Code File
See code files for subsequent lectures
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8SQLite: Business Cycles Table
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9Lab: SQLite FRED Data Load
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10Lab: SQLite Test
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11LangChain Setup and Schema Design in SQLite
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12LangChain Lab: SQLDatabaseChain
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13Agents and Chains
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14LangChain Labs | SQL Agents & Toolkits
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15Colab | LangChain SQLite, FAISS, OpenAI Embeddings Setup
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16Query Processing and Agent Setup: Architecture
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17Redis Memory | Conversation Buffer Memory
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18LangChain | Few-Shot Examples & Agents
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19LangChain Lab | Agent Executor: Colaboratory
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20LangChain | Query Processing Workflow
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21Part 1: Configure AWS Access Keys
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22Creating User Credentials in AWS
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23Downloading AWS Cloud9 Credentials
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24Finalizing AWS Cloud9 Configuration
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25Part 2: Create and activate an AWS account
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26Console Home | AWS Cloud9 Create Environment
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27AWS Cloud9 Overview: directory setup
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28Setting Up SerpAPI Keys
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29AWS Cloud9: .ENV file Setup
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30AWS Cloud9: Project folders and directories setup
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31AWS Cloud9 Requirements Setup
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32Project: Requirements and Setup
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33Setting Up Dependencies in AWS Cloud9
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34Guide: Redis Container Setup
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35Setting Up Database Scripts Efficiently
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36Initializing LangChain Agents: A Step-by-Step Guide
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37Recap: Retrievers and Embeddings in LangChain
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38Langchain: Initialize Agent Review
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39Langchain | Query Testing and Troubleshooting
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40Redis Session Management
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41OpenAIEmbeddings and FAISS Setup
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42Langchain: Integrating ZeroShotAgent and SQL Agent
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43Langchain: Integrating ZeroShotAgent with AgentExecutor
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44LangChain Query Testing
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45EBS volumes: Resizing on Cloud9
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46Resizing EBS Volumes: A How-To Guide
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47Rebooting AWS Cloud9 Systems
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48Dockerfile: Creating an Effective Dockerfile
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49Building Docker Images on AWS: A Step-by-Step Guide
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50AWS Credentials for ECR | ID | Region
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51Bash Script for ECR Credentials Management
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52Advanced Bash Infrastructure Scripting Techniques
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53Pushing Docker Containers: Best Practices
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59AWS Security: VPCs, Security Groups, Subnets
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60Introduction to AWS Elastic Container Service
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61AWS Architecture & Security
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62Overview of My AWS RDS Instance
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63Comprehensive AWS RDS Setup Guide
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64Setting Up RDS in EC2 VPC: Part 2
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65Creating AWS Security Groups for RDS
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66Advanced RDS Configuration: Part 3
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67Building, Tagging, and Pushing Docker Images in ECS Cluster