Ai Prompt Engineering: Python Scripting To Automate Workflow

Master AI Automation: Prompt Engineering and Python Scripting for Workflow Efficiency!

What you'll 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.

Requirements

Basic understanding of programming concepts.

A computer with internet access.

Willingness to learn and apply new concepts.

No prior experience with AI or Python scripting required.

Description

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.

Overview

Section 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?

Section 2: Prompt Engineering Basics

Lecture 4 Basic Terminologies

Lecture 5 Prompt Engineering

Lecture 6 What is Prompts?

Lecture 7 LLM Limitations

Lecture 8 Model Parameters

Lecture 9 The System Prompt

Section 3: Python and VS Code Setup

Lecture 10 Python Installation

Lecture 11 VS Code Installation

Lecture 12 Python Inside VS Setup

Section 4: Python Scripting Basics

Lecture 13 Variables, String, Integers, Floats & List

Lecture 14 Operations

Lecture 15 Conditions

Lecture 16 Loops

Lecture 17 Functions

Lecture 18 Modules

Lecture 19 Error Handling

Lecture 20 Json

Lecture 21 API

Lecture 22 Web Scraping

Lecture 23 Github

Lecture 24 Why Python Scripting with ChatGPT?

Section 5: ChatGPT (API) + Python Connection

Lecture 25 Generate API Key

Lecture 26 Important Connection

Lecture 27 Count Tokens

Lecture 28 Calculate Cost

Lecture 29 LLM Backup Function

Section 6: Prompts & Prompt Templates

Lecture 30 What is Prompts Templates

Lecture 31 Classify Prompts inside Folders

Section 7: Prompting in Actions

Lecture 32 Summarization

Lecture 33 Q&A

Lecture 34 Text Classification

Lecture 35 Generate Ideas

Section 8: Workflow Automation

Lecture 36 Import The Script

Lecture 37 Summarize Blog

Lecture 38 Summarize Video

Lecture 39 Token Limit

Lecture 40 Tweet from Video

Lecture 41 Search Results

Section 9: Bonus

Lecture 42 Bonus

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.