AI Prompt Engineering- Python Scripting to Automate Workflow

AI Prompt Engineering: Python Scripting to Automate Workflow, available at $54.99, has an average rating of 5, with 42 lectures, based on 2 reviews, and has 5 subscribers.

You will learn about Understand basic terminologies in prompt engineering. Learn about prompt engineering and its applications. Identify and utilize various model parameters. Comprehend the limitations of LLMs. Set up Python and VS Code for scripting. Master Python scripting basics including variables, strings, integers, floats, lists, operations, conditions, loops, functions, and modules. Handle errors and manage JSON. Work with APIs and web scraping. Use GitHub for version control. Generate and use API keys for ChatGPT. Establish and manage important connections. Count tokens and calculate costs for API usage. Implement LLM backup functions. Create and classify prompt templates. Apply prompting techniques in summarization, Q&A, text classification, and idea generation. Automate workflows by importing scripts, summarizing content, managing token limits, and more. This course is ideal for individuals who are Beginners and intermediate learners interested in AI and automation. or Professionals looking to enhance their workflow automation skills. or Students and enthusiasts eager to explore AI prompt engineering. or Anyone interested in integrating AI with Python scripting to streamline tasks. It is particularly useful for Beginners and intermediate learners interested in AI and automation. or Professionals looking to enhance their workflow automation skills. or Students and enthusiasts eager to explore AI prompt engineering. or Anyone interested in integrating AI with Python scripting to streamline tasks.

Enroll now: AI Prompt Engineering: Python Scripting to Automate Workflow

Summary

Title: AI Prompt Engineering: Python Scripting to Automate Workflow

Price: $54.99

Average Rating: 5

Number of Lectures: 42

Number of Published Lectures: 42

Number of Curriculum Items: 42

Number of Published Curriculum Objects: 42

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Understand basic terminologies in prompt engineering.

Learn about prompt engineering and its applications.

Identify and utilize various model parameters.

Comprehend the limitations of LLMs.

Set up Python and VS Code for scripting.

Master Python scripting basics including variables, strings, integers, floats, lists, operations, conditions, loops, functions, and modules.

Handle errors and manage JSON.

Work with APIs and web scraping.

Use GitHub for version control.

Generate and use API keys for ChatGPT.

Establish and manage important connections.

Count tokens and calculate costs for API usage.

Implement LLM backup functions.

Create and classify prompt templates.

Apply prompting techniques in summarization, Q&A, text classification, and idea generation.

Automate workflows by importing scripts, summarizing content, managing token limits, and more.

Who Should Attend

Beginners and intermediate learners interested in AI and automation.

Professionals looking to enhance their workflow automation skills.

Students and enthusiasts eager to explore AI prompt engineering.

Anyone interested in integrating AI with Python scripting to streamline tasks.

Target Audiences

Beginners and intermediate learners interested in AI and automation.

Professionals looking to enhance their workflow automation skills.

Students and enthusiasts eager to explore AI prompt engineering.

Anyone interested in integrating AI with Python scripting to streamline tasks.

Unlock the potential of AI in automation with our “AI Prompt Engineering: Python Scripting to Automate Workflow” course. This comprehensive training is designed for individuals who are eager to dive deep into the realms of AI prompt engineering and Python scripting. Whether you’re a beginner or an intermediate learner, this course is structured to guide you through the essential concepts and advanced techniques of AI prompt engineering and Python scripting.

Imagine being able to automate tedious and repetitive tasks, streamline your workflows, and enhance productivity with ease. This course will empower you to achieve just that. With over 5 hours of engaging video content, you’ll start with the basics of prompt engineering, understanding the terminologies, and learning the fundamentals of crafting effective prompts. We will explore the intricacies of Large Language Models (LLMs), their limitations, and how to optimize them for various tasks.

You will delve into Python and VS Code setup, ensuring you have a solid foundation to build upon. Our step-by-step approach will take you through Python scripting basics, including variables, operations, conditions, loops, functions, and modules. We understand the importance of error handling, JSON, APIs, web scraping, and GitHub in automation, and these topics are thoroughly covered to give you a holistic understanding.

But what sets this course apart is the integration of ChatGPT with Python scripting. Learn how to generate API keys, establish crucial connections, and count tokens. Understand the cost implications and leverage LLM backup functions. We provide hands-on experience with prompt templates, classification, and practical applications such as summarization, Q&A, text classification, and idea generation.

Our course goes beyond theoretical knowledge. You’ll gain practical skills in workflow automation, importing scripts, summarizing blogs and videos, managing token limits, and extracting tweets from videos. By the end of this course, you’ll be equipped with the expertise to create efficient, automated workflows that save time and reduce manual effort.

Don’t miss out on the opportunity to transform your skills and enhance your career prospects. Enroll now in “AI Prompt Engineering: Python Scripting to Automate Workflow” and take the first step towards mastering AI-driven automation.

Course Curriculum

Chapter 1: Introduction to Prompt Engineering

Lecture 1: AI Prompt Engineering: Python Scripting to Automate Workflow (Promo)

Lecture 2: What you will Learn?

Lecture 3: Why ChatPT for This?

Chapter 2: Prompt Engineering Basics

Lecture 1: Basic Terminologies

Lecture 2: Prompt Engineering

Lecture 3: What is Prompts?

Lecture 4: LLM Limitations

Lecture 5: Model Parameters

Lecture 6: The System Prompt

Chapter 3: Python and VS Code Setup

Lecture 1: Python Installation

Lecture 2: VS Code Installation

Lecture 3: Python Inside VS Setup

Chapter 4: Python Scripting Basics

Lecture 1: Variables, String, Integers, Floats & List

Lecture 2: Operations

Lecture 3: Conditions

Lecture 4: Loops

Lecture 5: Functions

Lecture 6: Modules

Lecture 7: Error Handling

Lecture 8: Json

Lecture 9: API

Lecture 10: Web Scraping

Lecture 11: Github

Lecture 12: Why Python Scripting with ChatGPT?

Chapter 5: ChatGPT (API) + Python Connection

Lecture 1: Generate API Key

Lecture 2: Important Connection

Lecture 3: Count Tokens

Lecture 4: Calculate Cost

Lecture 5: LLM Backup Function

Chapter 6: Prompts & Prompt Templates

Lecture 1: What is Prompts Templates

Lecture 2: Classify Prompts inside Folders

Chapter 7: Prompting in Actions

Lecture 1: Summarization

Lecture 2: Q&A

Lecture 3: Text Classification

Lecture 4: Generate Ideas

Chapter 8: Workflow Automation

Lecture 1: Import The Script

Lecture 2: Summarize Blog

Lecture 3: Summarize Video

Lecture 4: Token Limit

Lecture 5: Tweet from Video

Lecture 6: Search Results

Chapter 9: Bonus

Lecture 1: Bonus

Instructors

Kunal Helper
Just here to help others

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5 stars: 2 votes

Frequently Asked Questions

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