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The Complete GPT Algorithmic Trading Course: GenAI & Python+
Welcome
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Introduction to Algorithmic Trading
01 Introduction to Algorithmic Trading
Code Python on the Web (Intro to Colab)
01 What Is Google Colab (4:24)
02 What If I Get Errors (2:40)
03 How Do I Terminate A Session (2:40)
Introduction to Python
01. Intro To Python (5:46)
02. Variables (19:17)
02b. Variables Examples (10:42)
03. Type Conversion Examples (10:04)
04. Operators (7:04)
05. Operators Examples (21:52)
06. Collections (8:23)
07. Lists (11:38)
08. Multidimensional List Examples (8:05)
09. Tuples Examples (8:34)
10. Dictionaries Examples (14:24)
11. Ranges Examples (8:30)
12. Conditionals (6:41)
13. If Statement Examples (10:16)
14. If Statement Variants Examples (11:18)
15. Loops (7:00)
16. While Loops Examples (11:30)
17. For Loops Examples (11:18)
18. Functions (7:47)
19. Functions Examples (9:16)
20. Parameters And Return Values Examples (13:46)
21. Classes And Objects (11:13)
22. Classes Example (13:11)
23. Objects Examples (9:54)
24. Inheritance Examples (17:26)
25. Static Members Example (11:03)
26. Summary And Outro (4:06)
Source code
Disclaimer - Use Caution for Safe Trading
Disclaimer - Use Caution for Safe Trading
Advanced Machine Learning Techniques for Algorithmic Trading
01 Introduction to Machine Learning in Trading
02 Feature Engineering for Trading Algorithm
03 01 Setting up and Preparing Data (20:47)
03 02 Training Model and Visualizing Results (16:44)
Resources
High-Frequency Trading Strategies
01 Introduction to High-Frequency Trading
02 Market Microstructure
03 Designing High-Frequency Trading
04 Risk Management in High-Frequency Trading
05 Algorithm Stress Test in Colab (21:24)
Resources
Portfolio Optimization and Risk Management
01 Introduction to Portfolio Optimization and Risk Management
02 01 Setting up intial data and formulas (27:13)
02 02 Integrating Portfolio Optimization and Black-litterman (25:48)
Resources
Sentiment Analysis and NLP for Algorithmic Trading
01 Introduction to Sentiment Analysis and NLP for Algorithmic Trading
02 Data Collection and Processing for Sentiment Analysis
03 Sentiment Analysis Techniques
04 01 Integrating Sentiment Analysis and Back Testing (19:07)
04 02 Finishing up script and Testing (16:58)
Resources
Starting on Quantitative Finance
01 Fundamentals of Quantitative Finance
02 Basic Statistics and Probability
03 Understanding Time Series Data
04 Implementing Time Series in Colab (12:24)
Resources
Compute returns from prices
00a Stock Prices and Calculating Returns
00b Complete Commented Project Code
01 Calculate Stock Returns with Python (4:34)
02a Stock Analysis with Pandas
02b Use Pandas DataFrame for Multiple Stocks (3:58)
03a Analyzing CSV Data
03b Read Data from a CSV File in Python (3:04)
04a Compounding and Annualizing Returns
04b Compound and Annualize Returns in Python (4:28)
Source Files
Analyze Volatility and Returns of Stock Portfolios
00 Full Commented Project Code - Analyze Volatility and Returns of Stock Portfolios
01a Understanding stock portfolio data
01b Clean and visualize data with Python (4:40)
02a Understanding volatility and standard deviation
02b Calculate volatility with Python (3:49)
03a Annualized volatility
03b Annualize volatility and returns in Python (5:04)
04a Is the Return Worth the Risk? 😨 🎲 💰 Use the Sharpe Ratio to Decide
04b Calculate Sharpe Ratio for risk-adjusted return in Python (2:56)
Source files
Time Series Manipulation and Drawdown Analysis in Python
00a Project Introduction - Time Series Manipulation and Drawdown Analysis in Python
00b Complete Commented Project Code
01 Data Loading and Preprocessing (4:26)
02 Change Timestamp to Datetime (5:36)
02a Understanding Data Types - Timestamp and Datetime
03 Calculate Drawdowns (3:56)
03a Understanding Drawdowns
Source files
Calculate Measures of Downside Risk with Python
00a Project Preview - Measures of Downside Risk with Python
00b Complete Commented Project Code
01 Load Hedge Fund Data in Python (3:19)
02a Understanding the Semideviation Downside Risk
02b Calculate Semideviation in Python (2:36)
03a Exploring Value at Risk Metric for Risk Assessment
03b Calculate Value at Risk in Python (3:36)
04a Conditional Value at Risk as a Tool for Measuring Downside Risk
04b Calculate Conditional Value at Risk in Python (3:22)
05a Examining the Role of Parametric Gaussian Value at Risk in Assessing Downside Risk
05b Calculate Parametric Gaussian Value at Risk in Python (1:34)
06a Interpreting Cornish-Fisher Modification as a Metric for Downside Risk Evaluation
06b Calculate Cornish-Fisher Modification in Python (9:42)
Source files
Efficient Frontier Data Analysis and Visualization in Python
00a Project Preview - Efficient Frontier Data Analysis and Visualization in Python
00b Complete Commented Project Code
01 Load Industry Portfolio Monthly Returns mock data in Python (2:57)
02a Annualized Returns and Covariance for Efficient Frontier
02b Calculate Annualized Returns and Covariance (3:32)
03a Weights in Efficient Frontier Analysis
03b Define weights (2:55)
04a Understanding returns formula with weights
04b Calculate portfolio returns (3:26)
05a Understanding volatility formula with weights
05b Calculate portfolio volatility (2:59)
06a Understanding the Efficient Frontier
06b Visualize Efficient Frontier (3:43)
07a Capital Market Line and Tangency Portfolio
07b Plot the Capital Market Line in Python (4:45)
08 Visualize tangency portfolio in Python (7:30)
Source Files
Build Constant Proportion Portfolio Insurance Algorithm in Python
00a Project Preview - Portfolio Insurance Dynamic Risk Budget Algorithm
00b Complete Commented Project Code
01 Load Industry Returns, Firms and Size Data (3:03)
02a Understanding the total market index
02b Calculate the total market index (2:48)
03a Understanding parameters for our Portfolio Insurance strategy
03b Define initial values (5:54)
04a Steps of the Constant Proportion Portfolio Insurance (CPPI) strategy
04b Backtest the Strategy (11:27)
05 Visualize results (8:12)
Source files
Quantitative Trading
01 Quantitative Trading
Simulate a stock trading strategy with Z-score
00a Project Preview - Simulate a stock trading strategy with Z-score
00b Complete Commented Project Code
01 Generate Single Stock Data with Python in Colab (7:00)
02 Calculate cumulative moving average of stock price (1:26)
03 Simulate Trading Strategy with ZScore (5:34)
Source files
Mean Reversion on Stock Portfolio
00a Project Preview - Mean Reversion on Stock Portfolio
00b Complete Commented Project Code
01 Stock Portfolio Data Generation (6:56)
02 Visualize returns (5:05)
03 Mean Reversion on Stock Portfolio (3:28)
source files
Simulate and Predict Interest Rates and Bond Prices Like a Pro with Python
00a Project Preview - Simulating interest rates with mean-reversion
00b Complete Commented Project Code
01 Build initial conditions for simulating interest rates (7:21)
02a Understanding bond prices
02b Set Up Bond Prices (10:24)
03a Understanding Cox-Ingersoll-Ross algorithm
03b Calculate bond prices with the Cox-Ingersoll-Ross (CIR) model (4:06)
04 Convert instantaneous interest rates to annualized rates- (4:50)
Source Files
Trading Strategies and Techniques - Introduction To The Course
02 Introduction Of The Instructor (1:24)
01 Introduction To The Course (2:35)
03 Course Requirements (1:11)
Course Script Files
Interactive Brokers API Trading
01 01 Setting Up Our Dependencies (8:15)
01.02 Connecting To The IKBR Desktop App (12:39)
01.03 Grabbing Previous Candle Data (16:36)
01.04 Grabbing Current Candle Data (WITH SUBSCRIPTION) (6:45)
01.05 Grabbing Current Candle Data (WITHOUT SUBSCRIPTION) (5:17)
01.06 Performing TA On A Candle (14:48)
01.07 How To Place Orders (13:56)
01.08 Bracket Orders & Putting Everything Together (13:22)
Source Files
Real-Time Stock Data Acquisition: Cutting-Edge Strategies for Market Analysis
01 01 Introduction To yFinance & Real Time Data (11:29)
01.02 Grabbing & Interpreting yFinance Data (20:25)
01.03 Setting Up Our Web Scraper Environment (8:14)
01.04 Introduction To Finviz and Basic Scraping (14:52)
01.05 How To Deal With Pagination For Web Scraping (15:17)
01.06 Putting Our Scraped Data Into Excel (22:06)
Source Files
Tradingview & Pinescript
01 01 Introduction To Tradingview (7:34)
01.02 Basics Of Pinescript (13:04)
01.03 Creating Our First Overlay Indicator (17:37)
01.04 Creating A Non Overlay Indicator (10:39)
01.05 Creating A Strategy From Our Indicator (12:05)
Source Code
Options 101
01 01 What Are Options + Benefits & Drawbacks (11:59)
01.02 Options Terminology (5:19)
01.03 Buying Vs Selling Options (5:20)
02.01 What Is Delta (7:11)
02.02 What Is Gamma (6:31)
02.03 What Is Theta (6:09)
02.04 What Is Vega (4:15)
02.05 What Is Rho (3:17)
03.01 Common Options Strategies (10:00)
Market Basics
01.01 Why You Should Trade (7:28)
01.02 What Is A Stock (4:45)
01.03 What Is A Market (2:27)
01.04 What Is A Stock Exchange (3:03)
01.05 What Is A Broker (5:10)
01.06 Where To Trade (4:36)
Orders And Prices
01.01 Orders And Order Types (17:15)
01.02 Orders Driving Prices (2:30)
01.03 Different Players (4:06)
01.04 Ways To Make Money (3:45)
Technical Analysis
01.01 What Is Technical Analysis (10:37)
01.02 Charts And Candlesticks (20:59)
01.03 Trends, Support And Resistance (7:41)
01.04 Chart Patterns (7:10)
01.05 Volume (9:57)
01.06 Bollinger Bands (7:25)
01.07 Relative Strength Index (10:21)
01.08 Average True Range (5:01)
Fundamental Analysis
01.01 What Is Fundamental Analysis (15:43)
01.02 Financial Statements (13:58)
01.03 Fundamental Ratios (4:39)
01.04 Current Vs Expected (2:46)
01.05 Growth Vs Value Companies (4:59)
01.06 Trend Analysis (8:18)
01.07 Benchmarking (7:30)
01.08 Dividend Discount Model (13:19)
01.09 Stock Splits (5:45)
01.10 Other Metrics (4:22)
Risk And Money Management
01.01 What To Expect (15:22)
01.02 Gambling Vs Educated Betting (3:19)
01.03 Batting Average (3:56)
01.04 Win-Loss Ratio (5:15)
01.05 Risk Management (7:24)
01.06 Money Management (10:35)
01.07 Position Sizing (10:03)
Day Trading - Introduction To The Course
01 Introduction (1:35)
Course Script PDF Files
Day Trading Fundamentals
01 What Is Day Trading (1:51)
02 Why Most People Fail At Day Trading (5:02)
03 Pros And Cons Of Day Trading (13:46)
04 Types Of Day Trading (1:18)
Stock Analysis For Day Trading
01 Risk And Account Management (4:11)
02 How To Choose The Right Stock (13:46)
03 Scale Out Your Trade (2:38)
04 How To Use Stock Screeners (3:33)
05 Important Indicators To Use (5:43)
06 Get Trading Signals From Indicators (5:56)
07 Use A Trading View Platform (3:53)
Strategies And Tools (With Practical Examples)
01 Overview Of Day Trading (8:27)
02 Trading Plans Overview (5:40)
03 Deployment Process (5:10)
04 Analyze Historical Performance (9:55)
05 Which Broker To Use (6:46)
Open Price Gaps Strategy
01 What Is The Open Price Gaps Strategy (3:09)
02 Warning About Scammers (3:30)
03 Opening And Closing Auctions (4:26)
04 Build A Trading Plan And Stock Screening (2:17)
Equity Dilution Strategy
01 What Is The Equity Dilution Strategy (4:39)
02 Why The Strategy Works (2:49)
03 How To Research (3:02)
04 How To Backtest (5:52)
05 Build A Trading Plan And Stock Screening (1:44)
Dividend Cuts Strategy
01 What Is The Dividend Cuts (5:10)
02 Present Value Of Money (13:46)
03 When A Company Cuts Dividends (3:02)
04 Build A Trading Plan And Stock Screening (1:37)
Cryptocurrency Trading - Introduction To The Course
01 Introduction To The Course (4:02)
02 Introduction Of The Instructor (2:05)
03 Course Requirements (0:22)
Course Script Files
Cryptocurrency Fundamentals
01 Introduction Of Crypto Currencies (4:32)
02 Introduction Of Bitcoin (7:06)
03 Introduction Of Ethereum (2:25)
04 Inroduction Of Altcoins (1:30)
05 Introduction Of Multiplier (2:25)
06 Difference Of Fiat And Satoshi (7:21)
07 Difference Of Coin And Token (6:31)
Crypto Investing Fundamentals
01 Most Profitable Cryptocurrencies (8:48)
02 Where To Find Cryptocurrency Data (0:35)
03 Tips For Investing (10:17)
04 Warnings About Investing (3:33)
05 Invest In A Coin Long-Term (2:43)
06 Invest In A Coin Short-Term (3:44)
07 When To Buy And Exit (1:46)
08 Maximize Gains (2:00)
09 Spot Hidden Coins (3:33)
Buy Your First Cryptocurrency
01 Need To Buy Crypto (9:21)
02 Buy Bitcoin With Your Normal Currency (1:16)
03 Send Money To An Exchange (5:21)
04 Sell Your First Cryptocurrency (13:46)
05 Decentralised Exchanges & Uniswap (21:10)
06 Pancakeswap (7:36)
Criteria For Investing
01 Large, Mid And Micro Cap Coins (9:37)
02 How To Get Regular Profits (10:52)
03 Calculate Your Potential For Gains (2:39)
04 Additional Bonuses (2:52)
05 Investment’S Long Term Capability (1:28)
Buying Strategies
01 Short Term Strategy (4:31)
02 Long Term Strategy (7:04)
03 Playing The Market (2:05)
04 React When Your Investment Loses Money (3:13)
Technical Analysis - Crypto Trading Tactics
01 Bear Vs Bull Market (7:00)
02 Predict If A Crypto Will Soar Or Crash (12:27)
03 Find Optimal Price Of A Coin (9:58)
04 Stay Or Exit A Trade (8:15)
05 How To Use Candlesticks (4:27)
06 Spot Trends And Predict Future Prices (6:31)
Profitable Types Of Cryptocurrency
01 Why Blockchain Infrastructure Coins Are Valuable (35:50)
02 Why Privacy Coins Are Valuable (12:51)
03 Why Iot Coins Are Valuable (4:38)
04 Why Currencies Are Valuable (10:28)
05 Dapputility Coins Are Valuable (2:37)
How To Cash Out
01 Profits Back To Fiat (8:09)
02 Avoid High Fees When Selling (7:24)
DeFi Crypto Investing And Yield Farming
01 Defi And Yield Farming (20:02)
02 Why You Should Be A Yield Farmer (2:05)
03 Warnings About Yield Farmers (2:23)
04 How Buy New Defi Coins (2:14)
05 How To Reduce Gas Prices (8:35)
NFT Cryptos
01 What Are NFTs (4:33)
02 NFTs Are A High Profit Investment (4:36)
03 Different NFT Platforms (2:17)
04 Yield Farming & NFT Platforms (3:07)
Invest In ICOs
01 What Are ICO (11:55)
02 Why Invest In ICOs (2:46)
03 Optimum Price During Pre-Sales (2:48)
04 Partake In Private Sales (4:07)
Options Trading - Introduction To The Course
01. Introduction To The Course (3:26)
Course Script Text Files
Introduction To Call And Put Options
01. What Are Options (6:30)
02. Practical Example With A Stock (4:42)
03. Introduction To Call Options (1:40)
04. Practical Example Of A Call Option (4:28)
05. What Are In-The-Money (ITM), At-The-Money (ATM) And Out-Of-The-Money (OTM) Options (4:24)
06. Buyer And Seller Risk Profiles (4:21)
07. Risk Graphs (5:57)
08. Option Chain And Quote Screen (3:04)
09. Practical Stock Example - Choice Of Expiry Series And Itm, Atm And Otm Options (8:04)
10. Call Option Performance In Real-Time And On The Day Of Expiry (4:58)
11. Risk Graphs Of Itm, Atm And Otm Options (1:35)
12. Option Sellers Risk Profile (5:10)
13. Real-World Example Of Put Options (3:08)
Introduction To Time Decay
01 What Is Time Decay (3:31)
02 Practical Examples Of Time Decay (5:59)
Implied Volatility
01. What Is Implied Volatility (2:47)
02. Practical Examples Of Implied Volatility (3:02)
Option Greeks
01. What Are Option Greeks (3:36)
02. Option Delta (7:27)
03. Option Gamma (7:49)
04. Option Vega (4:52)
05. Option Theta (8:34)
Basic Strategies
01. Long Call Strategy (7:47)
02. Long Put Strategy (7:28)
03. Trade Set Up For Monthly Options (Indicators Settings) (13:39)
04. Covered Call Strategy (5:49)
05. Protective Put Strategy (6:54)
06. Writing Put Strategy (Selling Put Options) (7:28)
Options Spreads - Monthly Income Strategies
01. Bull Call Spread Strategy (13:28)
02. Bull Put Spread Strategy (8:42)
03 Bear Call Spread Strategy (8:03)
04. Bear Put Spread Strategy (6:48)
05. Call Back Spread Strategy (4:56)
06. Profitable Condition For Call Back Spread (10:04)
07. Put Back Spread Strategy (3:48)
08. Profitable Condition For Put Back Spread Strategy (7:37)
Neutral Strategies
01. Short Strangle Strategy (6:39)
02. Collar Strategy (6:30)
03. Long Butterfly Spread Strategy (7:14)
Volatile Strategies
01. Long Straddle Strategy (5:22)
Financial AI and ChatGPT Applications
01 Introduction Of The Instructor (2:25)
Source Files
Build your first ChatGPT AI prompts with Prompt Engineering - Intro to prompt engineering
01 What Is ChatGPT (7:50)
02 Intro To Prompt Engineering-Prompt Types (8:28)
03 Intro To Prompt Engineering-Effective Prompts (8:41)
Source Files
Build your first prompts
01 Project Preview (2:04)
02A Simplify Complex Information (8:38)
02B Simplify Complex Information-Other Strategies (8:41)
Source files
Predict stock performance with ChatGPT
01 Course Requirement (3:20)
02 Project Preview (2:03)
02A Analyze Financial Statements Of Stock (9:00)
02B Financial Ratio And Trend Analysis (4:25)
03 Balance Sheet, Income Statement And Cash Flow Statement (9:00)
04 Loopholes And Weaknesses In Stock Financials (8:39)
05 Analyze Historical Stock Performance (11:16)
06 Predict Stock Performance (5:08)
Source Files
Stock Analysis with ChatGPT
01 Market Share (5:31)
02 Industry Analysis (7:48)
03 Management Team Analysis (8:25)
04 Analyze Stock Risks (6:56)
05 Valuation (8:11)
06 Explain Business Model Of A Company (6:24)
07 Perform A Swot Analysis (8:16)
08 Summarize A Company’s Earnings Report Calls (6:55)
09 Evaluate A Company’s ESG Credentials (4:39)
Source Files
Build an Investment Plan with ChatGPT
01 Project Preview (0:48)
02A Invest Short Term (6:22)
02B Implementing Your Short-Term Investment Strategy (8:06)
03A Invest Long Term (5:58)
03B Analyzing The Results (7:27)
04A Using Chatgpt To Assess Your Risk Tolerance (7:32)
04B Customized Investment Recommendations Based On Individual Financial Goals And Risk Tolerance (5:26)
04C Implementing Your Customized Investment Plan (8:47)
Source Files
Stock Market Prediction and Risk Analysis with ChatGPT
01 Project Preview (1:25)
02A Recent Past Stock Market State (7:44)
02B Analyzing Past Trends And Economic Events (9:24)
03 Present Stock Market State (6:29)
04A Future Stock Market State (8:12)
04B Insights On Macroeconomic Factors (7:09)
05 Project Preview (2:22)
06 Analyze Credit Scores (7:56)
07 Assess Loan Applicant Risk (7:35)
Source Files
Trading Strategies, Sentiment Analysis and Fraud Detection with ChatGPT
01 Project Preview (1:12)
02 Pick Stocks With Company Evaluation (6:00)
03A Build A Trading Strategy (8:54)
03B Test Trading Hypthothesis (8:29)
04 Project Preview (1:03)
05 Chatgpt And Sentiment Analysis (8:52)
06 Analyzing Sentiments On Social Media Posts (8:45)
07 Project Preview (1:03)
07A Fraud Detection With Chatgpt (7:37)
07B Detecting Exploitation Prone Weaknesses (8:01)
08A Red Flags And Anomaly Detection (6:07)
08B Anomaly Detection Techniques (8:01)
09 Conclusion (2:20)
Source File
CoPilot Prompt Engineering in Excel - Unleash Data with AI
00 Course Overview (1:51)
01 Overview (2:03)
02 Microsoft-s Approach to AI (3:42)
03 Microsoft-s AI-Enhanced Productivity Tools (3:26)
04 Copilot for Microsoft 365 (5:20)
05 Data Considerations (2:14)
06 Copilot Interaction for Microsoft 365 (4:18)
07 Recap (1:36)
08 Overview (1:49)
09 Accessing Copilot in Excel (3:07)
10 Insight Identification (15:50)
11 Managing Data with Copilot (9:37)
12 Generating Formulas (11:05)
Source Files
Prompt Engineering with Microsoft Copilot - Mastering Prompts for Personalized Results
00 Course Overview (1:48)
01 Overview (1:00)
02 Understanding Copilot (3:51)
03 Accessing Microsoft Copilot (2:39)
04 What to Keep in mind (2:52)
05 Recap (0:51)
06 Overview (1:07)
07 The Interface (19:18)
08 Understanding Copilot Prompts (1:27)
09 Interaction with Copilot (5:38)
10 Recap (1:10)
11 Overview (1:23)
12 Copilot- Answers & Create (36:56)
13 Image Prompting (13:24)
14 Prompting Advance Tasks (21:10)
15 Recap (1:42)
Resources
Python and AI Integration
01. Introduction (4:42)
Ollama LLM Comprehensive Guide - Enhancing AI Conversations and Integrating with Python
01 Run And Chat With Llama 2 In Command Line (2:57)
02 Write Code With Code Llama (3:45)
03 Run Uncensored Llm Model With Ollama (3:55)
Resources
Customize Ollama Models
01 Build More Creative Ollama Llm With Higher Temperature (4:07)
02 Customize Sentiment Analyzer With Template (4:31)
03 Customize Model With Reusable System Prompt (3:26)
04 Customize Model With Template (5:37)
05 List And Delete Custom Ollama Models (1:10)
Resources
Customize Ollama Model for Sentiment Analysis
01 Pull Orca Model For Enhanced Reasoning (5:35)
02 Customize Ollama Model With More Parameters (4:51)
Resources
Connect to Ollama with Python Client
01 Connect To Ollama With Python Client (8:03)
02 Format Llama2 Response With Json (2:58)
03 Build User Interface For Ollama Language Model Chat (4:34)
Resources
(Prerequisite) Introduction to HTML
01. Course Requirements (2:56)
02. What Is JSbin (3:15)
03. Setting Up The HTML Document (2:41)
04. Header Tags And Paragraphs Tags (4:06)
05. Styles (3:32)
06. Bold Underline And Italic Tags (3:10)
07. Adding In A Link (1:38)
08. Adding In A Image (3:01)
09. Adding A Link To An Image (1:55)
10. Lists (4:03)
11. Tables (3:29)
12. Different Kinds Of Input (4:59)
13. Adding In A Submit Button (3:01)
14. Scripts And Style Tags (3:27)
How OpenAI API Works
Advisory Notice: About Using API Keys on External Platforms
01 OpenAI API Models To Work With (2:53)
02 How OpenAI API Works (2:09)
03 Adjust OpenAI API Model Parameters (7:58)
Source files
Build your first OpenAI API queries with Python
01 Use OpenAI API To Answer Questions Like ChatGPT (10:19)
02 Correct Grammar With OpenAI API (3:30)
03 Summarize And Simplify Text With OpenAI API (4:03)
04 Translate Text With OpenAI API (3:04)
Source files
Build OpenAI API queries for to automate coding tasks
01 Generate Code With OpenAI API (7:11)
02 Explain Code With OpenAI API (5:24)
03 Calculate Time Complexity With OpenAI API (3:40)
04 Translate Programming Languages With OpenAI API (4:24)
05 Fix Bugs In Code With OpenAI API (3:19)
Source files
Use OpenAI API to automate data science tasks
01 Generate SQL Queries With OpenAI Py (5:15)
02 Build Structured Table Data From Long Form Text (4:29)
03 Classify Items Into Categories With OpenAI API (4:50)
04 Generate Spreadsheets And Lists With ChatGPT OpenAI API (5:46)
Source files
Use OpenAI API to automate copywriting with GPT Turbo
01 Convert Notes To Summary With OpenAI API (5:40)
02 Add Emotional Sentiment To Text With OpenAI Models (9:40)
03 Generate Questions On A Topic With GPT Turbo (9:26)
04 Generate Text Conversation With ChatGPT API (5:19)
Source files
Use OpenAI API to automate marketing with GPT Turbo
01 Classify Text Emotion Sentiment With ChatGPT Models (5:09)
02 Extract Keywords From Text With ChatGPT API (4:31)
03 Convert Product Description To Ad With ChatGPT Python (3:57)
04 Generate Product Names With ChatGPT In Python (4:04)
05 Extract Information From Text With ChatGPT API (2:57)
Source files
Scrape web data in text form with Python
01 Build HTML Parser With Python (4:31)
02 Scrape Hyperlinks From URL Webpage With Python (4:09)
03 Filter Out URLs Not Part Of Domain (7:03)
04 Save Web Content To Files With Python (10:07)
Source files
Process web data for OpenAI machine learning
01 Convert Text To CSV With Python (6:36)
02 Remove Whitespace And Lines From Text With Python (4:58)
03 Tokenize Text With Python For Machine Learning Models (2:50)
04 Split Long Lines With Python (4:11)
05 Split Pandas Dataframe Into Sections With Python (7:19)
06 Embed Text For Machine Learning With OpenAI API (8:05)
Source files
Customize OpenAI model to learn from your data
01 Embed Question With Python (5:48)
02 Answer Questions About Your Data With Customized OpenAI Model (10:36)
Source files
Answer questions about PDF with ChatGPT model in Python
01 Load And Read PDF In Python (3:40)
02 Build Vector Index From PDF Text In Python (4:32)
03 Answer Questions About PDF With Chatgpt Model In Python (5:10)
Source files
Generate and Embed text data with OpenAI API
01 Generate Review Data With ChatGPT API (8:14)
02 Format Python Text To Multidimensional Pandas Dataframe (11:50)
03 Change Column Data Type In Pandas Dataframe (2:40)
04 Embed Text Data With OpenAI API (6:25)
Source Files
Transcribe Video
01 Set Up Transcribing Project (2:25)
02 Transcribe Video With OpenAI Whisper API (2:22)
Resources
Build image captioning app with OpenAI GPT Vision 4
00A Project Preview - Build Image Captioning App With OpenAI Vision (2:25)
00B Introduction To OpenAI GPT Vision 4 (9:23)
01 Gpt Vision 4 Image Captioning With OpenAI API (10:38)
02 Build User Interface For Image Captioning App (8:30)
Resources
Build image classification app with OpenAI Vision
00 Project Preview - Image Classification App With OpenAI Vision (1:49)
01 Binary Image Classification With OpenAI Vision (11:13)
02 Send Request To OpenAI (4:26)
03 Build User Interface For Image Classification App (6:21)
Resources
Build GPT Assistant with ChatGPT Editor
00 Project Preview - Build GPT For GPT Store (1:24)
01 What Are GPT Assistants From OpenAI (9:14)
02 Build GPT Assistant With ChatGPT Editor (12:22)
Resources
Build GPT Assistant with OpenAI API
01 Build GPT Assistant With OpenAI API (6:09)
02 Add Message To Thread (3:58)
Resources
Build GPT Assistant to Answer Questions about File
00 Project Preview - GPT Assistant To Answer Questions About File (1:49)
01 Build File For OpenAI Assistant API (2:55)
02 Build GPT Assistant With File (3:44)
03 Build GPT Assistant Thread With File (6:26)
Resources
Build Youtube video summarizer app
00 Project Preview - Youtube Video Summarizer App (1:20)
01 Generate Youtube Transcript With Python (6:18)
02 Summarize Youtube Transcript With OpenAI (6:12)
03 Build User Interface For Youtube Summarizer App (6:27)
Resources
Video analysis with OpenAI's Vision Model
00 Project Preview - AI Video Voiceover Generator App (2:25)
01 Encode Video For Openai API (8:14)
02 Describe Video With Openai API (5:02)
03 Generate Video Voiceover Script With OpenAI (5:21)
04 Generate Mp3 Audio From Script With OpenAI Speech (6:31)
05 Combine Video And Audio With Python (6:03)
06 Build User Interface For AI Video Narration App (6:25)
07 Generate Voiceover Upon Video Submission (8:48)
Resources
Build a Screenshot to Code OpenAI Generator App
01 Buid System And User Prompts To OpenAI Vision (9:23)
02 Send Image To OpenAI Vision (7:05)
Resources
Improve web clone results with prompt engineering
01 Improve Web Clone Results With Prompt Engineering (9:46)
02 Generate Webpage Bootstrap Styling With OpenAI (13:02)
03 Generate Image Placeholders With OpenAI (6:40)
Resources
Generate replacement images with DALL-E
01 Scrape Image Tags From Webpage (4:55)
02 Generate Replacement Image With Dall-E (6:46)
03 Generate Replacements For All Placeholders (6:43)
Resources
Replace placeholders in webpage with generated images
01 Replace Placeholders In Webpage With Generated Images (7:52)
02 Resize HTML Images With Python (6:04)
Resources
Generate data with OpenAI JSON mode
00 Project Preview - Generate Data With OpenIA Json (0:56)
01 Generate Data With OpenAI Json Mode (8:38)
Resources
Call function upon user query with OpenAI
01 Define Messages To OpenAI (4:36)
02 Define Functions To Trigger On OpenAI Response (8:01)
03 Call Function Upon User Query With OpenAI (8:33)
04 Build Multiple Functions For OpenAI To Choose (3:14)
Resources
Extracting information from input in structured manner
01 Set Up Messages For OpenAI (5:14)
02 Create Functions For When OpenAI Replies (5:33)
03 Take Action When OpenAI Responds (5:26)
Resources
Build Python Projects with OpenAI
01. Initial installation and configuration (7:02)
02. Benefits of clear prompts (7:02)
02.01 Making A Simple Chat Bot App (12:36)
03. Image Generation Using Python And ChatGPT (11:35)
04.01 Transcribing Speech To Text (8:46)
04.02 Translating Speech To English (6:42)
Source Code
Build a ChatGPT Clone with Python Custom UI
01. Introduction And Demo (2:31)
02. Backend Of The Chat Bot (10:20)
03. Frontend Of The Chat Bot (18:20)
04. Troubleshooting And Testing (9:06)
Source files
Build a ChatGPT Chrome Extension with Python
01 Introduction And Project Setup (6:18)
02. Setting Up The Configuration Files (9:26)
03. Completing The Front End Of The Extension (11:22)
04. Completing The Backend Of The Extension (20:35)
05. Testing And Troubleshooting (11:13)
Source Code
Build Transcriber Python Web App with OpenAI Whisper API
00 Requirements
01 Introduction And Project Setup (5:04)
02. Coding The Backend Of The App (18:16)
03. Coding The Frontend Of The App (21:47)
04. Testing And Troubleshooting The App (4:34)
Source Code
Build Image Generation Web App with OpenAI API
01 Introduction And App Setup (4:18)
02. Completing The Backend Of The App (7:21)
03. Completing The Front End Of The App (8:03)
04. Adding Styles To The App (7:17)
05. Testing And Troubleshooting (9:44)
Source Code
Test Your Knowledge
Practice Exam - Build coding and data science AI apps with OpenAI Python API
Practice Exam - Automate marketing and copywriting with ChatGPT API Python
Practice Exam - Customize OpenAI machine learning with Python web scraping data
Practice Exam - Build custom OpenAI ChatGPT API Python apps with embeddings
Practice Exam - Build AI Applications with OpenAI Vision and Whisper
Practice Exam - Master OpenAI with GPT Assistants, Function Calling and JSON Mode
Practice Exam - Build Python Projects with OpenAI
Practice Exam - Build a ChatGPT Clone with Python Custom UI
Practice Exam - Build a ChatGPT Chrome Extension with Python
Practice Exam - Build AI Apps with ChatGPT and Python
Practice Exam - Video Analysis and AI Python App Development with OpenAI Vision
Practice Exam - Build a Screenshot to Code OpenAI Python App
Introduction to Prompt Engineering with LangChain
01 Introduction to LangChain - A Comprehensive Framework for LLM Applications
01b Understanding LangChain for Language Model Applications
02 Set up LangChain project in Jupyter Notebook with Anthropic (6:27)
03 Understanding retrieval chains in LangChain
04 Build a Retrieval Chain with LangChain and OpenAI (6:48)
Automate prompt to function pipeline with LangChain tool calling
01 What is LangChain Tool Use
02 Build a tool with LangChain Python SDK (6:15)
03 Build tool function calling with LangChain OpenAI Python SDK (4:49)
04 Invoke LangChain tool with a chain (5:16)
Source Files
Dataset Generation with LangChain Python for Synthetic CSV Data Analysis
01 Build a Data Model (5:53)
02 Build sample data for synthetic generation in Python (5:36)
03 Build a prompt template for data generation LLM (4:31)
04 Build a data generator with LangChain OpenAI Python SDK (3:17)
05 Generate synthetic data with LangChain OpenAI in Colab (4:19)
06 Save list to CSV in Python (9:15)
Source Files
Automate CSV Data Analysis with LangChain OpenAI Python SDK
01 Load CSV file into Pandas dataset (4:15)
02 Generate Pandas Code with LangChain OpenAI Python SDK (5:08)
03 Build Function Call to Use Python LangChain Tool (8:21)
04 Build Chain to Automate LangChain Tool Use (11:00)
Source Files
Mastering Google Gemini - Google Gemini Large Language Model API Essentials
01 Connect to Google's Gemini API with Python
01b Install Gemini and Add Secret API Key to Colab (3:04)
02 Exploring Gemini API - Model Selection and Capabilities
02b List content generation models with Gemini Python SDK (1:57)
03 Leveraging the Gemini API for Text Generation
03b Send a request to Gemini with Python SDK (3:51)
04 Multimodal Content Generation with Gemini API
04b Caption an image with Gemini Python SDK (4:41)
05 Mastering Conversations with Gemini's Chat API and Python
05b Build chat session with Gemini Python SDK (2:23)
06 Maximizing Model Performance - Token Count Management in the Gemini API
06b Count tokens with Gemini Python SDK (1:50)
07 Harness the Power of Text Embeddings with Gemini API
07b Build embeddings with Gemini Python SDK (3:01)
Practice Exam
AI App Development Mastery - Build with Gemini Python SDK and Practice Exam
01 Integrating Gemini with Function Calling in Python
01b Set up function calling project with Gemini Python SDK (5:56)
02 Use the Gemini Pro Model for API Calls in Python
02b Build function call with Gemini Python SDK (4:53)
03 Build Complex Function Calls in APIs
03b Execute external API function call with Gemini Python SDK (10:18)
04 Integrate Function Calls in Chat Sessions with Gemini
04b Simulate function calls in chat session with Gemini Python SDK (8:26)
Practice Exam <