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What the ‘Big 3’ cloud giants are offering for AI education, training and certification
The “big three” cloud giants — Amazon Web Services, Microsoft Azure, and Google Cloud Platform — are embroiled in a battle for AI supremacy that is trying to beat each other in education, training, and more.
Education and training efforts quickly gained momentum last year with the introduction of ChatGPT, a perceptual voice chatbox from Microsoft partner OpenAI. Google declared a “code red” to catch up after the Azure cloud gained an early edge in the competition, thanks to Microsoft’s $10+ billion investment in the company, according to many industry insiders. It says. Both Microsoft and Google are investing heavily in search and it is rapidly becoming just AI, so they may be more aggressive in some aspects of AI, including education/training. For example, Microsoft’s AI-powered “New Bing” search engine is currently competing with Google’s AI-powered Bard search service.
Let’s take a look at what each cloud platform is doing in the AI education/training space.
AWS
The company isn’t as likely to be disrupted by AI as Google and Microsoft, which have invested in the search space, but it’s still big on the AI education/training wave with plenty of opportunities. Here we summarize some of the main ones.
- AWS Training and Certification Blog: ChatGPT debuted on November 30, 2022. In less than two weeks, the AWS Training and Certification Blog published one of his first of many “New Courses and Updates in AWS Training and Certification” posts in the AI category. Subsequent posts have been published monthly, with the May 11th post (for April) listing new opportunities such as Amazon Comprehend (Natural Language Processing). The blog therefore acts as a one-stop-shop for getting the latest on new education/training.
- AWS Training and Certification Site: This “Build your future in the AWS Cloud” site has three main categories on the home page: Cloud Essentials, Architects, and Machine Learning. The service featured for the latter currently includes three courses. Machine learning pipelines on AWS. Prepare for Exam: AWS Certified Machine Learning – Specialization. And deep learning on AWS. View all courses here.
- AWS Skill Builder: This “online learning center” offers free learning content in addition to individual and team subscriptions. The Machine Learning section offers a series of on-demand courses to improve your technical skills and teach you how to apply machine learning (ML), artificial intelligence (AI), and deep learning (DL) to unlock new insights and value. The study plan will also help you prepare for the AWS Certified Machine Learning – Specialty exam.” Speaking of the latter…
- AWS Certified Machine Learning – Specialty: This exam is “intended for individuals in development or data science roles who have at least one year of experience developing, designing, or running machine learning/deep learning workloads on the AWS Cloud.”
- Get started with machine learning: This resource is intended to help users unlock their ML skills and career potential through in-depth coursework, hands-on tutorials, and more. Featured courses include Hands-on Data Science Specialization, ML Essentials for Business, and Machine Learning College. Speaking of the latter…
- Machine Learning University: The service offers self-service machine learning training from Amazon’s own scientists. “The courses offered by Machine Learning University are the same courses used to train Amazon’s in-house developers in the fundamentals of machine learning. It provides a good learning structure.”
Google cloud platform
As mentioned earlier, after ChatGPT’s debut, Google began a large-scale “code red” AI catch-up effort, quickly launching an experimental Bard AI-powered search experience. Since then, we’ve basically been playing a retaliation AI game with new updates and announcements. This is a summary of the company’s education and training efforts.
Machine learning and AI:
This is a Google Cloud training resource titled Machine Learning and Artificial Intelligence. The site offers a data scientist/machine learning engineer learning path, which the company says: “Data scientists model and analyze important data in order to continuously improve how companies use data. Data scientists aim to use detailed data to accurately predict the future. It is data modeling and deep learning. ” Includes courses such as:
- Fundamentals of Big Data and Machine Learning
- Machine learning on Google Cloud
- Advanced Machine Learning with TensorFlow on Google Cloud Platform
- Fundamentals of MLOps (Machine Learning Operations)
- ML pipelines on Google Cloud
Skill badges earned through these courses are:
- Perform foundational data, ML, and AI tasks on Google Cloud
- Build and deploy machine learning solutions with Vertex AI
- Create a Conversational AI Agent with Dialogflow CX
Google AI/Build: “What are you doing with AI today?” The site lists 14 in-house and third-party courses under the Learn ML category, including:
- Fundamentals of Machine Learning with TensorFlow (TensorFlow)
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera)
- Introduction to TensorFlow for Deep Learning (Udacity)
- DeepLearning.AI TensorFlow Developer Professional Certification (Coursera)
- Overview of Machine Learning Problem Frameworks (Google Foundational)
- Introduction to Fairness in Machine Learning (Google Foundational)
- Kaggle Learning (Kaggle)
- Machine Learning Guide (Google Guide)
- Machine Learning Crash Using TensorFlow API (Google Foundational)
Grow with Google: The site says, “Here’s your guide to learning AI and machine learning.” It starts with a “getting started with” resource.
- Master Machine Learning with Google Experts
- Learn the basics of AI
- understanding artificial intelligence
- Explore AI and learn from Google experts
Followed by resources to “try it out”.
- Get certified for TensorFlow
- Learn how to program neural networks using TensorFlow
- Explore ML careers on Google Cloud
Generative AI overview: This Google Cloud Skills Boost resource is described as follows: “This is an introductory-level skill aimed at explaining what Generative AI is, how to use it, and how it differs from traditional machine learning techniques. It’s a micro-learning course.It also covers Google tools to help you learn.You’ll develop your own Gen AI app.We expect this course to take about 45 minutes to complete.”
7 new free generative AI training courses to advance your cloud career: The May 18 post on Training and Certification featured text resources and videos, the latter including:
- Generative AI overview
- Overview of Large Language Models
- Generative AI on Google Cloud
Generative AI learning path: This resource lists the courses mapped to the video above, plus many more. Sampling includes:
- Image generation overview
- Encoder/decoder architecture
- attention mechanism
- Transformer model and BERT model
- Create an image caption model
- Generative AI Studio overview
- Generative AI Explorer – Vertex AI (“Quest”)
