
Please find the course materials attached to this lecture.
PYTHON
from openai import OpenAI # Importing the library we just installed for our code so we can use it client = OpenAI(api_key="OPENAI_KEY") # Creating a client instance that we can use to communicate with the API. Remember to replace OPENAI_KEY with your actual API key response = client.chat.completions.create( model="gpt-4o-mini", # Here we select our model messages=[ {"role": "system", "content": "You are a helpful pirate."}, {"role": "user", "content": "Hello!"} ] ) # Here we make our actual API call and get a response back print(response.choices[0].message) # Printing the response. We select the first element in the choices list and choose that element's message
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This advanced course thoroughly explores ChatGPT and its APIs, with clear video lessons that guide you through complex AI features in the OpenAI suite. Designed to push your knowledge further, this course helps you enhance your existing AI skills or master more advanced techniques, enabling you to achieve new proficiency levels in AI development, integration, and application across various industries and use cases. By the end of the course, you’ll have the expertise to implement AI solutions that can transform your projects and keep you ahead in the rapidly evolving field of artificial intelligence.
You’ll learn how to create advanced conversational agents, integrate ChatGPT into various applications, and use the API to build custom AI solutions tailored to specific needs. The course also covers advanced Python programming, including writing SQL queries from sketches and prompts, creating more complex chatbots with the OpenAI API, and applying Vision techniques to enhance your AI projects. Additionally, you’ll discover how to automate AI-powered document processing and streamline workflows using Microsoft Power Automate Desktop.
With a practical, hands-on approach, you’ll get plenty of opportunities to practice and apply your skills in real-world situations as you progress. The course includes detailed, practical examples and projects that make the advanced concepts easier to understand, allowing you to implement them effectively in your own work.