Build Intelligent Workflows with Python and OpenAI GPT Models
About This Course
Since the launch of ChatGPT, professionals across industries have embraced Generative AI for its intuitive interface and accessibility, empowering users of all skill levels to enhance their workflows.
While ChatGPT excels at ad-hoc, low-volume tasks, many seek to unlock its full potential for complex, scalable workflows by integrating it with programming logic.
This course teaches you how to harness the power of Generative AI by integrating it with Python programming, enabling you to go beyond basic use cases. By leveraging OpenAI's API, you will learn to create scalable, automated workflows tailored to real-world challenges. Whether it’s extracting data from multiple file formats, performing intelligent categorization, or automating repetitive tasks across large datasets, this course equips you with the skills to design robust solutions that save time and improve efficiency.
Through practical, hands-on exercises, you’ll gain a clear understanding of Python fundamentals and how to apply them in combination with GPT-4 to address business needs. By the end of the course, you’ll be able to implement advanced automation strategies and unlock the full potential of Generative AI for scalable, intelligent workflows.
What You'll Learn
- Define programming and coding and the use of basic Python syntax, including documenting updates and changes with comments.
- Describe data structures and control flow in Python, and how control flows can be implemented with nested data structures to extract intended data for business needs.
- Explain how Python functions can be used to create independent and reusable pieces of codes to organise your entire codebase.
- Evaluate Python code to detect errors and implement effective debugging strategies using Generative AI tools like ChatGPT and Gemini.
- Explain what open source libraries are, their benefits, and how to apply different open source libraries like Pandas to solve different business requirements.
- Learn about the Colab platform and how it differs from other Python distributions
- Utilize the request library to perform HTTP requests and manipulate tabular and spreadsheet data using the pandas library to analyse and process business information efficiently.
- Determine different business scenarios when applying Generative AI and different end products it could create such as Intelligent Categorisation, Retrieval Of Knowledge from PDFs and Intelligent Web Scraping
- Construct Python programmes by applying OpenAI API and its features to meet business requirements and apply prompt engineering techniques to improve responses from OpenAI
Entry Requirements
Target age group: 18 - 60
Required years of experience in relevant domain: No domain experience required for entry
Minimum education level: Have good English proficiency (English language at GCE 'O' Level of B4 and above, or WSQ Workplace Literacy skills of Level 7 and above).
Other relevant details on entry requirements: Able to perform basic functions in Excel (e.g. using cell references, IF() formula)