| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction | |||
| 1. Introduction.mp4 | 34.9 MB | ||
| 2 - API Setup | |||
| 3 - Python & Development Environment | |||
| 10. Creating and activating a virtual environment on Windows.mp4 | 40.7 MB | ||
| 11. Updating pip in virtual environment.mp4 | 10.3 MB | ||
| 12. Installing Visual Studio Code Editor.mp4 | 67.7 MB | ||
| 13. Create a Streamlit folder.mp4 | 6.2 MB | ||
| 14. Creating a requirements text file.mp4 | 13.7 MB | ||
| 4 - App Foundations & Data Connectivity | |||
| 15. Importing packages and branding.mp4 | 57.7 MB | ||
| 16. Create a Google Account.mp4 | 70.9 MB | ||
| 17. Setting up Google Sheets connectivity to app.mp4 | 41.3 MB | ||
| 18. Page configuration and custom CSS setup.mp4 | 68 MB | ||
| 19. Implementing lead capture form.mp4 | 73.2 MB | ||
| 20. Upgrading the Apps Script.mp4 | 92.3 MB | ||
| 21. Implementing footer and sidebar.mp4 | 83.4 MB | ||
| 22. Initialize session state.mp4 | 76 MB | ||
| 23. Assessment questions data structure.mp4 | 61.7 MB | ||
| 5 - AI Features & Multi Tool Workflow | |||
| 24. Implementing AI use cases – Part 1.mp4 | 75.1 MB | ||
| 25. Implementing AI use cases – Part 2.mp4 | 54 MB | ||
| 26. Implementing AI use cases – Part 3.mp4 | 54.9 MB | ||
| 27. Implementing AI use cases – Part 4.mp4 | 52 MB | ||
| 28. Implementing AI use cases – Part 5.mp4 | 15.4 MB | ||
| 29. Implementing AI use cases – Part 6.mp4 | 26.3 MB | ||
| 30. Content templates prompt categories and ROI calculator function.mp4 | 55.6 MB | ||
| 31. Assessment results and OpenAI integration functions.mp4 | 48.4 MB | ||
| 32. Sidebar navigation system.mp4 | 34.8 MB | ||
| 33. Home page layout.mp4 | 32.9 MB | ||
| 34. AI Tools page – Consultant tab.mp4 | 47.3 MB | ||
| 35. AI Tools page – Content Generator tab.mp4 | 47.3 MB | ||
| 36. Prompt Builder tab.mp4 | 33.5 MB | ||
| 37. Assessment page – Questions section.mp4 | 36.7 MB | ||
| 38. Assessment page – Results section.mp4 | 29.8 MB | ||
| 39. Use Cases page overview and selection.mp4 | 30.2 MB | ||
| 40. Use Cases page tools and progress tracking.mp4 | 28 MB | ||
| 41. Use Cases page step by step implementation guide.mp4 | 35.3 MB | ||
| 42. ROI Calculator page.mp4 | 53.7 MB | ||
| 6 - Testing Version Control & Deployment | |||
| 43. Creating Streamlit configuration files.mp4 | 44.7 MB | ||
| 44. Testing API keys.mp4 | 64.9 MB | ||
| 45. Checking OpenAI API key works.mp4 | 8.2 MB | ||
| 46. Launching the app.mp4 | 25.7 MB | ||
| 47. Testing the Assessment feature.mp4 | 42.7 MB | ||
| 48. Testing the AI Consultant.mp4 | 40.9 MB | ||
| 49. Testing the Content Generator.mp4 | 36.9 MB | ||
| 50. Testing the Prompt Builder.mp4 | 34.9 MB | ||
| 51. Testing the Use Cases Library.mp4 | 40.9 MB | ||
| 52. Testing the ROI Calculator.mp4 | 29.1 MB | ||
| 53. Testing navigation and session state.mp4 | 11.7 MB | ||
| 54. Lead capture and footer test.mp4 | 32.2 MB | ||
| 55. Creating gitignore file.mp4 | 43.9 MB | ||
| 56. Creating a Github account.mp4 | 63 MB | ||
| 57. Create a streamlit account.mp4 | 20.3 MB | ||
| 58. Create a new GitHub repository.mp4 | 27.5 MB | ||
| 59. Uploading project files to GitHub repository.mp4 | 27 MB | ||
| 60. Deploying app to the Streamlit Cloud.mp4 | 59.5 MB | ||
| 8. Python Installation on Windows.mp4 | 44.6 MB | ||
| 9. What are virtual environments.mp4 | 11.6 MB | ||
| 6. Getting OpenAI API Keys.mp4 | 30 MB | ||
| 7. Adding Credits to OpenAI Account.mp4 | 31.4 MB | ||
| 2. Welcome & What You'll Build.mp4 | 75.1 MB | ||
| 3. What is AI.mp4 | 132 MB | ||
| 4. ChatGPT vs Claude vs Google AI Studio.mp4 | 14.1 MB | ||
| 5. Understanding AI Prompts.mp4 | 41.5 MB |
Complete AI Implementation & Consultant System Builder 2026
https://WebToolTip.com
Published 12/2025
Created by Skill Tree
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 60 Lectures ( 3h 48m ) | Size: 2.56 GB
Design, build & deploy business-ready AI tools with Python, OpenAI APIs, and cloud workflows. Launch real AI solutions
What you'll learn
Understand the fundamentals of AI, large language models, and prompt engineering.
Install Python and set up a fully working development environment.
Create and manage virtual environments for clean project organization.
Use Visual Studio Code efficiently for AI app development.
Acquire and manage OpenAI API keys securely.
Build a fully functional Streamlit web application from scratch.
Connect web applications to Google Sheets as a simple CRM or data backend.
Design and implement a lead capture form that stores user data automatically.
Build an AI-powered business assessment tool using GPT.
Create smart content generation features to support marketing workflows.
Develop a customizable Prompt Builder for users to generate better outputs.
Implement a library of AI use cases for business automation
Add a business ROI calculator to nstrate measurable value to clients.
Use Streamlit Session State to manage navigation and user flows.
Customize application branding, page layouts, and UI styling with CSS.
Create reusable Python functions to streamline AI workflows.
Structure data for assessments, questions, and recommendations.
Test all major components for proper functionality and error handling.
Configure Streamlit deployment settings and environment variables.
Upload and manage the project using GitHub for version control.
Deploy the AI app publicly on Streamlit Cloud for real user access.
Implement a sidebar navigation system for better user experience.
Automate data flows between multiple pages in the app.
Apply prompt templates to improve accuracy and consistency.
Build multiple AI tools into one cohesive workflow.
Prepare a foundation for an AI consulting product or service.
Gain practical skills aligned with growing AI automation careers.
Requirements
Basic familiarity with using a computer and the internet.
A willingness to follow step-by-step instructions.
An interest in learning how AI tools are built and used by businesses.
A computer (Windows, Mac, or Linux).
Internet access for installing apps.
An OpenAI account (set up during the course).
A Google Account and GitHub Account (also created during the course).
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Udemy - The Complete FP and A Course - Financial Planning and Analysis Posted by
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