
Create and activate your Bot City account, then explore Bot City Studio, Bot City Maestro, and the SDK to build, deploy, and orchestrate automations using Python, Java, and JavaScript.
Download the Bot City Studio sdk, install on Mac OS, and launch the jar with the Java launcher; log in, create a runner, and start automating with computer vision.
Explore desktop automation with computer vision using BotCity's desktop bot, building a project skeleton, loading it in bot studio, and executing image-based actions like clicking and filling forms.
Learn desktop automation with computer vision in bot city studio, building a desktop bot template for Windows and Mac, and wiring it to click start free and dashboard.
Build a desktop automation bot in Python by subclassing the BotCity desktop bot, implementing action to open calculator, multiply 99 by 66, and read the result from the clipboard.
Build a desktop bot that fills a complex form using image recognition on the Kiwi.com practice form, entering names, selecting gender, uploading an image, and choosing state and city.
Learn to create a web bot using a Bot City template, configure the chrome driver, and implement basic web automation with Python in a VS Code project.
Develop a BotCity Python web bot to simulate an e-commerce flow: select a category, fetch products, add to cart, place order, handle JS dialogues, and export a purchase pdf.
Learn to parse PDF invoices into structured data with Python and Port City Document Processing, extracting key fields like invoice number, order number, dates, and total due.
Explore BotCity Google plugins, create a project, enable the vision API, and download the JSON; integrate Google Sheets for read-write operations and calendar events using the BotCity library.
Explore the Bot City http request plugin that enables get and post calls to any API. See a Python example installing, importing, and using the plugin to perform requests.
Explore the Bot City files plugin to monitor folders for new files, wait for downloads, and get the last created file; also zip and unzip files.
Set up a Google Cloud Platform project, enable the required APIs including Vision API, and download the JSON credentials to configure the Bot City plugin.
Learn to use the Gmail plugin from Bot City to read, search, and reply to emails with credentials.json and Gmail API enablement. Manage labels and handle email tasks.
Learn to integrate Google Drive with Bot City using the Google Drive plugin, enabling Drive API and performing search, download, upload, and folder operations.
Explore Google Sheets integration with the Boat City plugin to read, write, and update spreadsheets using a Google account, including setup, sheet ID usage, and basic API operations.
Explore integrating a Google Calendar plugin in Bot City using the Google Calendar Simple API to read events and create new ones, showing any Python library can be used with OAuth.
Learn to extract text from images using the Google Cloud Vision plugin for Bot City, leveraging OCR features, including installation, service account credentials, and using read and full text methods.
Explore the Bot City Maestro orchestrator, deploying bots to runners, managing tasks and automations, and scheduling executions across development and host environments with a centralized dashboard.
Deploy a Python bot in Bot City Maestro by building a project bundle, packaging as a zip, uploading via user interface or deploying with bot cli, and releasing with versioning.
Create an automation in Maestro by labeling it, attaching a released bot and runner, and configuring optional parameters and priority for scheduled bot runs.
Create and run a Blaze automation object task using a Mac runner, configure parameters and schedule, then monitor the web bot as it executes and generates a PDF.
Deploy python bots quickly with BotCity easy deploy by configuring automation details, attaching the bot zip, selecting a runner, and running a test task through a simple UI.
Explore uploading Maestro result files with post artifact using task id, artifact name, and file path, and updating the bot bundle to generate order confirm pdf.
Create and manage custom logs in BotCity Maestro using UI and code to define columns and timestamps, capturing execution steps. Export, edit, and delete logs for organized task traces.
Store and access secrets securely with Maestro credentials vault, using labeled keys to read api keys and urls in your bots through the Maestro library.
Learn to integrate OpenAI APIs with Python, install the OpenAI library, manage API keys, and build a text-based assistant like ChatGPT using Python code.
Enhance a python text-to-text chat bot by using an execute prompt function that returns responses for an interactive command-line session and supports quitting.
Explores implementing a python text-to-speech chat bot that sends prompts to a chat interface and speaks responses aloud using pyttsx3, with mac considerations and gtts as an alternative.
Build a voice-enabled chat bot with TypeScript and Python integration to talk to ChatGPT by voice and receive audio responses; include speech recognition and text-to-speech.
Configure a chat bot to respond in json format only for easy programmatic parsing, using custom instruction settings; parse the json output with Python.
Learn to design a Python interface that interacts with AI and RPA modules, including chatbots and OpenAI libraries, for automation across desktop, web, and documents.
Build a Python interface to access OpenAI APIs and ChatGPT via BotCity desktop bot, delivering Json responses and enabling a VM toolbox workflow with default, code interpreter, and plugins.
Create an audio interface that captures microphone input, converts speech to text for prompts, and turns text back to audio as a modular Python library for BotCity RPA.
Extend a python-based bot interface by integrating google bard via a python wrapper to access live data and produce json-formatted responses.
Design a modular python framework with interfaces that integrate OpenAI, ChatGPT, and Googlebot, and create classes for audio, google workspace, orchestration, desktop, and web interfaces to enable customizable bot workflows.
Learn to build AI-driven automation with a Python framework for bot creation, integrating pdf parsing, data extraction, AI prompts, and automated workflows via email or health care system.
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Here is a list of items you will expect to learn from this course -
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2. OpenAI & Python - Learn to build AI ChatBot with various configurations, such as Text-To-Audio, Audio-To-Audio (Voice Assistant), and more. Integrate OpenAI python library with other open source libraries.
3. AI & RPA Integration - Learn to build the Framework which can integrate AI offerings such as OpenAI and ChatGPT, BotCity RPA offerings, and other Python library integration as microphone access, speaker access etc.
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Keep learning and Stay blessed ______