Udemy – Data Analysis with Generative AI – A Complete Bootcamp 2025-5

You’ll start by learning how to stream, collect, and analyze tweets in real time using tools like Tableau Pulse and MongoDB natural language charting. From there, you’ll explore how to integrate powerful OpenAI APIs, including the latest GPT and o1 Reasoning models, to classify tweets, extract sentiment, generate content, and even analyze images. You’ll then build productive AI applications using tools like AWS Party Rock and SageMaker Canvas, which allow you to create complete machine learning workflows and analytical dashboards without writing any code. You’ll also explore advanced concepts like vector databases, retrieval-augmented generation (RAG), and reinforcement learning using AWS DeepRacer to train AI agents.

What you will learn

• Analyze and visualize real-time Twitter data using Tableau Pulse, MongoDB, and serverless dashboards.
• Use OpenAI APIs (GPT, V1, o1 Reasoning, and Canvas) to classify tweets, transform images, and analyze collaborative data.
• Integrate web search and file inputs into AI-powered tweet analysis for deeper insights.
• Compare advanced AI models like OpenAI o1 vs. GPT to understand reasoning capabilities with data and images.
• Build AI-powered apps without coding using AWS Party Rock and SageMaker Canvas.
• Execute SQL-like queries in natural language with AI-based charting tools ChatGPT and MongoDB.
• Explore vector databases and RAG (Recovery Augmented Generation) systems to improve your data pipelines.
• Automate code generation and completion with AWS CodeWhisperer for Python workflows.
• Train reinforcement learning models for real-world tasks using AWS DeepRacer.
• Extract insights and trends from tweets related to the 2024 election using advanced AI tools.
• Applying prompt engineering techniques for more accurate and actionable AI outputs.
• Connect PostgreSQL and AWS tools to collect, store, and analyze public data such as census information.
• Transform unstructured tweet data into structured visual insights with low-code or no-code tools.

This course is suitable for people who:

• Data analysts and business intelligence professionals who want to add AI-based tools to their workflow and visualize real-time social media trends.
• Social media marketers and analysts looking to uncover insights from Twitter data without writing code.
• Developers and tech enthusiasts who are eager to experiment with OpenAI APIs, vector databases, and no-code AI platforms.
• Business professionals and decision makers interested in automating data analysis and building intelligent dashboards.
• Students and people looking to make a career change and looking for hands-on experience with popular AI and cloud technologies like AWS, MongoDB, and OpenAI.
• Anyone who is curious about AI-based data analysis and wants to learn by doing practical, real-world projects with live data.

Installation Guide

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