From decoding a nearly-ambiguous text message to speed-watching a foreign film with subtitles flying by at breakneck speed, we all know language can be quite the puzzle sometimes. And friends, it’s not just us humans who grapple with the labyrinth of linguistics; our incredible AI companions do too – but not for long! Enter Google BERT, the secret sauce that’s all set to give search engines a much-needed language upgrade. With BERT making headlines for revolutionizing natural language processing, it’s no surprise that everyone’s itching to wrap their heads around it. So, whether you’re a curious rookie or an AI trailblazer, grab a cozy spot, because we’re diving into the world of Google BERT online courses today.
Embarking on a quest for Google BERT mastery is, without a doubt, exciting, but it’s essential to have a map before you set sail. While endless resources and tutorials might tempt you to jump in headfirst, finding the right online course is crucial to transform you from BERT bystander to seasoned linguistics whiz. In this blog post, we’ll give you our expert lowdown on Google BERT online courses that’ll shape you into a BERT connoisseur – all while keeping things fun, approachable, and, most importantly, thoroughly enlightening. So, buckle up and get ready for takeoff; your language processing prowess awaits!
Google Bert Courses – Table of Contents
- Learn BERT – most powerful NLP algorithm by Google
- Practical Natural Language Processing – Go from Zero to Hero
- Data Science: Transformers for Natural Language Processing
- Deep Learning: Natural Language Processing with Transformers
- Build Movie Review Classification with BERT and Tensorflow
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Learn BERT – most powerful NLP algorithm by Google
Platform:
Udemy
Rating:
3.7 out of 5
If you’re looking to dive deep into the BERT intuition and its applications, this online course is definitely something you’ll want to check out. What’s great about it is that it’s designed to be suitable for everyone – whether you’re new to the world of natural language processing or an experienced professional. This course will walk you through the history of BERT and explain crucial concepts in a way that’s easy to understand and follow, ultimately allowing you to master this state-of-the-art NLP algorithm.
But it’s not just about the content; this course is also powerful and disruptive in its approach. By learning the concepts behind BERT, you’ll be able to move beyond outdated methods such as RNNs and CNNs, and instead, explore an intuitive, efficient way to process language that can be applied to various NLP purposes. Plus, with the course’s user-friendly design that utilizes Tensorflow 2.0 and Google Colab, you won’t need to worry about technical compatibility issues or outdated tools. It’s the perfect opportunity to enhance your skills and understanding of this transformative algorithm!
Skills you’ll learn in this course:
- Master the history of BERT and its origins.
- Understand the concepts behind BERT’s state-of-the-art NLP algorithm.
- Get rid of RNNs, CNNs, and other heavy deep learning models.
- Implement a more intuitive way to process language with BERT.
- Apply BERT to a wide range of NLP purposes.
- Utilize Tensorflow 2.0 with ease.
- Work with Google Colab for an efficient learning experience.
- Resolve machine/software version and compatibility issues.
Practical Natural Language Processing – Go from Zero to Hero
Platform:
Udemy
Rating:
4.3 out of 5
“Practical Natural Language Processing – Go from Zero to Hero” is an online course aimed at equipping students with core knowledge and practical skills in Natural Language Processing (NLP). With a focus on understanding and processing human communication, the course delves into essential topics such as text preprocessing, tokenization, stemming, lemmatization, word embeddings, named entity recognition, and text summarization. By learning NLP, you’ll be able to build applications that facilitate human-computer interactions and acquire skills useful in various industries, including software development, data science, and marketing.
This course also offers hands-on experiences, guiding students through building an enterprise-grade chatbot with Dialogflow and working with social media platforms like Twitter. Additionally, students will explore advanced topics such as RASA chatbot integration, deep learning for sequence data, Transformer NLP architecture, and ChatGPT. BERT Model and Hugging Face Transformers are also part of the course, giving participants access to state-of-the-art pre-trained models. Overall, this practical NLP course is designed to help you go from a beginner to a skilled practitioner in a rapidly growing field.
Skills you’ll learn in this course:
- Text preprocessing and NLP pipeline development
- Building enterprise-grade chatbots with Dialogflow
- Working with Twitter tweets for data extraction and mining
- Creating chatbots using RASA with advanced integration
- Applying deep learning techniques to sequence data
- Understanding Transformer NLP architecture
- Exploring ChatGPT and its applications
- Implementing BERT models and Hugging Face Transformers for NLP tasks
Data Science: Transformers for Natural Language Processing
Platform:
Udemy
Rating:
4.8 out of 5
If you’re interested in mastering Transformers for Natural Language Processing, you’re going to love this course. It’s jam-packed with practical skills and detailed theory on how transformers and attention work. The course is neatly divided into three major parts: Using Transformers, Fine-Tuning Transformers, and Transformers In-Depth.
In the first part, you’ll learn to use pre-trained models for a variety of tasks, like text classification, named entity recognition, text summarization, and more. The second part will teach you how to fine-tune transformers on your own custom datasets. You’ll see that with a little work and cost, you can significantly enhance their performance. Finally, in the third part, you’ll dive deeply into the inner workings of transformers. You’ll examine encoders, decoders, BERT, GPT, and how to implement transformers from scratch. With a strong understanding of these models, you’ll be in a great position to command higher salaries and prestigious titles in the competitive field of machine learning. Don’t miss this amazing opportunity to elevate your skills and career!
Skills you’ll learn in this course:
- Text classification (e.g. spam detection, sentiment analysis, document categorization)
- Named entity recognition
- Text summarization
- Machine translation
- Question-answering
- Generating believable text
- Masked language modeling (article spinning)
- Zero-shot classification
Deep Learning: Natural Language Processing with Transformers
Platform:
Udemy
Rating:
4.3 out of 5
Deep Learning and Natural Language Processing (NLP) are transforming industries and creating high demand for experts in the field. An online course by Neuralearn aims to help those eager to dive into these fascinating topics. This project-based course takes a step-by-step approach to help beginners master NLP concepts. Learners will use TensorFlow 2 and Huggingface transformers libraries to build models from the ground up, starting with simple models and progressing to advanced transformer models, such as Bert, GPT, BlenderBot, T5, Sentence Transformers, and Deberta.
Throughout the course, students will develop the skill sets needed for modern deep learning for NLP solutions, like those used by big tech companies. Topics covered include basics of TensorFlow, text preprocessing, deep learning algorithms, sentiment analysis, transfer learning, machine learning operations (MLOps), machine translation, model deployment, intent classification, named entity relation, and speech recognition, among others. This comprehensive course by Neuralearn, which values feedback and emphasizes responsive assistance, is perfect for those looking to advance their careers and develop expertise in state-of-the-art NLP techniques.
Skills you’ll learn in this course:
- Text Preprocessing for Natural Language Processing
- Deep Learning algorithms (Recurrent Neural Networks, Attention Models, Transformers, Convolutional neural networks)
- Sentiment Analysis with RNNs, Transformers, and Huggingface Transformers
- Transfer Learning (Word2vec and modern Transformers)
- Machine Learning Operations (MLOps) with Weights and Biases
- Machine Translation using RNNs, Attention, Transformers, and Huggingface Transformers
- Model Deployment (Onnx format, Quantization, Fastapi, Heroku Cloud)
- Various NLP tasks with Huggingface Transformers (Intent Classification, Named Entity Relation, Neural Machine Translation, Extractive Question Answering, etc.)
Build Movie Review Classification with BERT and Tensorflow
Platform:
Udemy
Rating:
4.1 out of 5
Hey there, it looks like you’re interested in an online course that teaches you how to build a movie review classifier engine using BERT and TensorFlow 2.4! This course will be perfect if you’re a beginner since it starts from the basics of movie review classification, learning word embeddings, and gradually moves to advanced concepts like BERT. The best part is you don’t need any prior knowledge in word embeddings or BERT, as everything will be covered from scratch.
The course is packed with over 10 lectures that will teach you to build a movie review classification engine based on open-source Python, TensorFlow 2.4, and Jupyter frameworks. On your journey, you’ll learn Word Embeddings, including Word2Vec, One hot encoding, Glove, and BERT. By the end of the course, you’ll have worked on downloading datasets, fine-tuning the model on the IMDB movie review dataset, evaluating the model, and testing it on real-world data. Jobs in the NLP field are in high demand, and having this skill set in your arsenal will undoubtedly give you a competitive edge. So, what are you waiting for? Let’s start building that movie review classification engine together!
Skills you’ll learn in this course:
- Understanding movie review classification
- Mastering word embeddings from scratch
- Gaining knowledge about BERT and its advantages
- Leveraging pre-trained models for classification tasks
- Evaluating model performance
- Using Jupyter Notebook for programming
- Testing models on real-world data
- Developing a strong foundation in deep learning text classifiers
In conclusion, investing your time in understanding and mastering Google BERT can be a game-changer for your career in the SEO, content marketing or data science field. The variety of online courses we’ve discussed in this blog post cater to different skill levels, ensuring that you have plenty of options to choose from, regardless of where you currently stand in terms of expertise.
Remember that as with any skill, practice and consistency are crucial to mastery. Take your time, evaluate the courses outlined in this post, and choose the one that best aligns with your current level of knowledge and future goals. Embrace the learning process, apply what you’ve learned, and allow this powerful NLP model to sharpen your SEO and content creation strategies – the results will surely speak for themselves. Happy learning!