ZerotoMastery - Build an AI Stock Analyzer using ChatGPT, Python and LangChain

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Free Download ZerotoMastery - Build an AI Stock Analyzer using ChatGPT, Python and LangChain
Released 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 16 Lessons ( 3h 4m ) | Size: 686 MB
Build your own AI application that analyzes stocks and optimizes portfolios using OpenAI's GPT models, Python and LangChain (100% beginner friendly). You'll even learn investment strategies like Modern Portfolio Theory and the Black-Litterman Model.

This fun project-based course blends AI and finance education: you'll learn to use the latest AI technologies like ChatGPT, LangChain and OpenAI's GPT models in your own projects while also learning about essential financial metrics and portfolio optimization theories. Maybe you'll be the next Wolf of Wall Street?!
What you'll learn
Harness AI tools to gather, analyze, and interpret real-time stock data for smarter investment strategies
Improve your Python skills with hands-on coding exercises
Understand and implement LangChain to augment your AI and improve its outputs
Learn about financial metrics and theories while building a fun and useful portfolio project
Why is this AI Stock Analysis Project awesome?
This project-based course blends generative AI and financial education: not only will you learn to utilize the latest AI technologies like LangChain and OpenAI's GPT models, but you'll also learn about essential financial metrics and portfolio optimization theories. Who says you can't learn two things at once, right?!
Most importantly you'll gain practical skills that can boost your career prospects. The course is hands-on, so you'll be able to implement what you learn right away. Plus, you'll learn advanced investment strategies that can help you make better financial decisions.
Wait... What's a Project?
One of the most common things we hear from students is: "I want to build more projects!"
We love hearing that, because building projects is really the best way to learn. And unique, challenging projects can really make your portfolio stand out for potential employers.
But also...it just feel so good when you actually build something real!
That's why we've created ZTM Projects. A collection of comprehensive portfolio and practice projects that you can use to advance your knowledge, learn new skills, build your portfolio, and sometimes even just have fun!
What Else Should I Know?
By becoming a ZTM member you'll not only get access to all our courses, bytes, and projects.
But you'll also get to join our exclusive live online community classroom to learn alongside thousands of students, alumni, mentors, TAs and Instructors.
Most importantly, you'll be learning from an industry professional (Diogo) that has actual real-world experience as a Data & Financial Analyst using AI tools. He teaches you the exact strategies and techniques he uses in his role.
Finally, as with all ZTM courses, this course is a living thing. It will be constantly updated as the landscape changes so you can use it as your go-to resource for building an AI Stock Analyzer project now and throughout your career.
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687.54 MB | 00:28:33 | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English


Files Included :
1 Introduction 425K (11.37 MB)
10 Python - Top Trading KPIs - Part 2 716K (27.27 MB)
11 Modern Portfolio Theory 308K (22.79 MB)
12 Python - Modern Portfolio Theory 780K (68.79 MB)
13 The Black-Litterman Model 327K (17.88 MB)
14 Python - Black-Litterman Model 462K (67.16 MB)
15 Building an Optimized Python Script 778K (136.13 MB)
16 From Diogo How I Invest 353K (26.99 MB)
2 OpenAI Key Setup 523K (9.71 MB)
3 What is LangChain 378K (13.3 MB)
4 Python - LangChain OpenAI Setup 525K (33.84 MB)
5 Python - Download the Stock Data 836K (23.4 MB)
6 Introduction to Finance 383K (19.17 MB)
7 Top Fundamental KPIs for Stock Analysis 405K (20.26 MB)
8 Top Trading KPIs for Stock Analysis 360K (20.06 MB)
9 Python - Top Trading KPIs - Part 1 886K (163.05 MB)

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Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!
Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!
Code:
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