This learning path will teach you the skills to be the core foundation of a profitable new career in the upcoming decade of rapid change. Our proposed learning path focuses on developing skills in Python, OpenAI, and related technologies to master prompt engineering. Let’s be on the right side of change! 🚀
Step 1. Foundations of Python
- Course: Master the Single Line First! Top 10 Python One-Liner Tricks
- Why: Grasp the elegance and efficiency of Python by mastering the art of writing concise one-liners.
Step 2. Deep Dive into Python Data Structures
- Course: Mastering Python Lists
- Why: Lists are a fundamental data structure in Python, understanding them deeply will aid in handling data effectively in AI applications.
Step 3. Advanced Python Techniques
- Course: Python Magic Methods
- Why: Understanding magic methods will allow you to create Pythonic objects which can mimic built-in types.
Step 4. Mastering Prompt Engineering
- Course: Mastering Prompt Engineering
- Why: Gain foundational knowledge and learn how to leverage language models effectively.
Step 5. Introduction to OpenAI’s API and Prompt Engineering
- Course: Prompt Engineering with Python and OpenAI
- Why: Dive deeper into advanced prompting techniques utilizing Python’s OpenAI API.
Step 6. Practical Application of AI in Development
- Course: Non-Hyped Exploration: A Practical Developer’s Guide to Using ChatGPT for Arcade Game Development
- Why: Understand practical applications of AI in game development and gain insights into real-world efficacy of AI tools.
Step 7. Building AI-Powered Chatbots
- Course: Creating a High-Performance Extensible ChatGPT Chatbot in 1 Lesson
- Why: Learn to build a powerful and extensible chatbot using ChatGPT and other cutting-edge technologies.
Step 8. Web Scraping for Data Acquisition
- Course: Web Scraping with BeautifulSoup
- Why: Acquire the skills to programmatically extract data from the web, which can be crucial for training and utilizing AI models.
Step 9. Advanced AI Applications
- Course: Prompt Engineering with Llama 2 – Four Practical Projects
- Why: You’ll delve into practical applications such as book PDF querying, payroll auditing, and hotel review analytics.
Step 10. Continuous Learning and Application
Engage in various projects such as creating a joke search engine powered by ChatGPT, contribute to open-source, and continuously explore Finxter’s new courses and materials to stay updated with the advancements in AI and prompt engineering.
Engage in the Finxter Discord Mastermind Group to share knowledge and seek support from ambitious, positive-minded coders like you. Ensure to build a portfolio showcasing your projects and learning journey.
This learning path will teach you the skills to be the core foundation of a profitable new career in the upcoming decade of rapid change. Let’s be on the right side of change! 🚀
The Finxter Premium Membership gives you access to all academy courses, including the Finxter Mastermind Group on Discord.
While working as a researcher in distributed systems, Dr. Christian Mayer found his love for teaching computer science students.
To help students reach higher levels of Python success, he founded the programming education website Finxter.com that has taught exponential skills to millions of coders worldwide. He’s the author of the best-selling programming books Python One-Liners (NoStarch 2020), The Art of Clean Code (NoStarch 2022), and The Book of Dash (NoStarch 2022). Chris also coauthored the Coffee Break Python series of self-published books. He’s a computer science enthusiast, freelancer, and owner of one of the top 10 largest Python blogs worldwide.
His passions are writing, reading, and coding. But his greatest passion is to serve aspiring coders through Finxter and help them to boost their skills. You can join his free email academy here.