Applied Artificial Intelligence and Machine Learning on Google Cloud Platform
- Created By raju2006
- Last Updated December 21st, 2023
- Overview
- Prerequisite
- Audience
- Audience
- Curriculum
Description:
Gain a solid understanding of the foundational technology behind artificial intelligence with our "Fundamentals of Deep Learning" course. Explore the world of deep neural networks and discover why they are so adept at learning. We'll start by establishing the context of deep learning within the realms of machine learning and artificial intelligence. Then, we'll dive into shallow neural networks to appreciate the advantages of their deep counterparts. You'll explore Convolutional Neural Networks and Recurrent Neural Networks, along with their real-world applications using Keras and TensorFlow. Uncover the remarkable capabilities of deep learning and learn how to identify opportunities to apply it. Elevate your knowledge and skills in applied artificial intelligence and machine learning with our training program on the Google Cloud Platform.
Course Code/Duration:
BDT8 / 1 Day
Learning Objectives:
After this course, you will be able to:
- Have a basic understanding of TensorFlow
- Understand the similarities and differences between Machine Learning and AI
- Understand how to use GCP to visually explore, clean and prepare data
- Understand how to use GCP for vision tasks (e.g., analyze photos and video)
- Understand how to use GCP for Natural Language Processing and sentiment analysis
- Understand how to use GCP for Text-to-Speech and Speech-to-Text conversion
- Understand how to use GCP to develop custom models using your own data
- Understand how to use GCP to do Automated ML where you can apply ML and AI using pre-trained models on common use cases with little or no coding
- Basic Python Programming
- Data Analyst, Statistician, Data Scientist, Programmer, Cloud Solutions Architects, Individuals using Google Cloud Platform to create new solutions for AI and ML.
- Data Analyst, Statistician, Data Scientist, Programmer, Cloud Solutions Architects, Individuals using Google Cloud Platform to create new solutions for AI and ML.
Course Outline:
- Course Introduction
- Overview of Machine Learning and Artificial Intelligence
Milestone 1: Learn how to access GCP
- Introduction to TensorFlow
- Explore, analyze and clean data using GCP
Milestone 2: Explore Datalab and Dataprep for data analysis and preparation
- Vision Intelligence
- Image Analysis
- Video Analysis
- Text Intelligence
- Natural Language Processing
- Speech-to-Text, Text-to-Speech
- Language Translation
- Creating custom vs. pre-trained models
Milestone 3: Do photo analysis and text sentiment analysis
- Next steps
Structured Activity/Exercises/Case Studies:
- Milestone Project 1: Learn how to access GCP
- Milestone Project 2: Explore Datalab and Dataprep for data preparation
- Milestone Project 3: Use GCP to do photo analysis and text sentiment analysis
Training material provided:
Yes (Digital format)
