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Natural language processing (NLP) is a subfield of artificial intelligence (AI) that enables computers to comprehend spoken and written human language. NLP has several applications, including text-to-voice and speech-to-text conversion, chatbots, automatic question-and-answer systems (Q&A), automatic image description creation, and video subtitles. With the introduction of ChatGPT, both NLP and Large Language Models (LLMs) will become increasingly popular, potentially leading to increased employment opportunities in this branch of AI. Google Cloud Processing (GCP) offers the potential to harness the power of cloud computing for larger text corpora and develop scalable text analysis models.
My course provides a foundation for conducting PRACTICAL, real-life NLP and LLM-based text analysis using GCP. By taking this course, you are taking a significant step forward in your data science journey to become an expert in harnessing the power of text data for deriving insights and identifying trends.
Why Should You Take My Course?
I have an MPhil (Geography and Environment) from the University of Oxford, UK. I also completed a data science PhD (Tropical Ecology and Conservation) at Cambridge University.
I have several years of experience analyzing real-life data from different sources and producing publications for international peer-reviewed journals.
This course will help you gain fluency in GCP text analysis using NLP techniques, OpenAI, and LLM analysis. Specifically, you will
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Gain proficiency in setting up and using Google Cloud Processing (GCP) for Python Data Science tasks
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Carry out standard text extraction techniques.
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Process the extracted textual information in a usable form via preprocessing techniques implemented via powerful Python packages such as NTLK.
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A thorough grounding in text analysis and NLP-related Python packages such as NTLK, Gensim among others
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Use deep learning models to perform everyday text analytics tasks such as text classification.
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Introduction to common LLM frameworks such as OpenAI and Hugging Face.
In addition to all the above, you’ll have MY CONTINUOUS SUPPORT to ensure you get the most value from your investment!
ENROLL NOW 🙂
An Overview of Google Cloud Platform (GCP)
Python/Jupyter Notebooks and GCP
Set Up Your Text Modelling Environment
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13Working With Jupyter Notebooks (The Vertex Way)
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14Work With JupyterLab
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15Quick Access
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16Pre-Install Tensorflow
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17Access Data From Buckets To JupyetrLab
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18Start With Google Colaboratory Environment
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19Google Colabs and GPU
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20Accessing A Single CSV From GCP Buckets Into Colab
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21Multiple PDFs
Text Data Ingestion and Pre-Processing
Natural Language Processing (NLP) Analysis
Text Classification
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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