About this Course
Google AI Certification: Exploring Artificial Intelligence with Google Technologies
Welcome to the Google AI Certification course, where you will embark on a journey to explore the fascinating world of Artificial Intelligence (AI) using Google's cutting-edge technologies. This comprehensive course is designed to provide you with a deep understanding of AI concepts, techniques, and practical applications through hands-on learning experiences.
Course Overview
This course will introduce you to the fundamental principles and advancements in AI, with a particular focus on how Google leverages AI to create innovative solutions. You will learn about the different types of AI, including machine learning, deep learning, and reinforcement learning, and how they are applied across various domains.
Throughout the course, you will gain insights into Google's AI platform, TensorFlow, and explore its powerful features for building and deploying AI models. You will also have the opportunity to work with Google Cloud AI services, such as AutoML and Dialogflow, to understand how AI is utilized in real-world applications.
Course Objectives
- Understand the foundations of artificial intelligence and its applications
- Explore machine learning algorithms and their implementation using TensorFlow
- Gain hands-on experience in building and training neural networks
- Discover the power of deep learning and its impact on various industries
- Learn about reinforcement learning and its role in creating intelligent systems
- Get familiar with Google Cloud AI services and their practical use cases
- Develop the skills to design and deploy AI models using Google technologies
Course Syllabus
- Introduction to Artificial Intelligence
- Overview of AI and its history
- Types of AI: Narrow AI vs. General AI
- Applications of AI in everyday life
- Machine Learning Fundamentals
- Supervised vs. Unsupervised Learning
- Feature engineering and data preprocessing
- Linear regression and classification algorithms
- Model evaluation and validation techniques
- Introduction to TensorFlow
- Overview of TensorFlow and its ecosystem
- Building and training simple neural networks
- Working with image and text data using TensorFlow
- Deep Learning and Neural Networks
- Understanding deep learning architectures
- Convolutional Neural Networks (CNN) for image recognition
- Recurrent Neural Networks (RNN) for sequence modeling
- Transfer learning and pre-trained models
- Reinforcement Learning
- Introduction to reinforcement learning concepts
- Markov Decision Processes (MDP)
- Q-learning and policy gradients
- Applications of reinforcement learning in robotics and gaming
- Google Cloud AI Services
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External Resources
How to Get Certified
Enroll in the Course
Click the "Enroll" button to view the pricing plans.
There, you can select a plan or your preferred options and complete your payment to access the course.
Complete the Course
Answer the certification questions by selecting a difficulty level:
Beginner: Master the material with interactive questions and more time.
Intermediate: Get certified faster with hints and balanced questions.
Advanced: Challenge yourself with more questions and less time
Earn Your Certificate
To download and share your certificate, you must achieve a combined score of at least 75% on all questions answered.
Course Features
24/7 Support
Around-the-clock assistance for any questions or concerns you may have.
Study Guides
Easy-to-follow guides that break down complex topics for better understanding.
Honorary Certification
Receive a recognized certification before completion of the course.
Career Workshops
Hands-on workshops that help you build important career skills.
Networking Events
Special events designed for you to connect with industry leaders and fellow participants.
Insightful Webinars
Live sessions led by experts to help you deepen your understanding of key topics.
Expert Coaching
One-on-one sessions with industry experts to enhance your skills and knowledge.
Pricing Plans
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Frequently Asked Questions
For detailed information about our Google AI Certification: Exploring Artificial Intelligence with Google Technologies course, including what you’ll learn and course objectives, please visit the "About This Course" section on this page.
The course is offered online. If you want to meet people in person, you can choose the "Networking Events" option when you enroll. These events allow you to connect with instructors and fellow participants in person.
The course doesn't have a fixed duration. It has 14 questions, and each question takes about 5 to 30 minutes to answer. You’ll receive your certificate once you’ve answered most of the questions. Learn more here.
The course is always available, so you can start at any time that works for you!
We partner with various organizations to curate and select the best networking events, webinars, and instructor Q&A sessions throughout the year. You’ll receive more information about these opportunities when you enroll.
You will receive a Certificate of Excellence when you score 75% or higher in the course, showing that you have learned about Google AI Certification: Exploring Artificial Intelligence with Google Technologies.
An Honorary Certificate allows you to receive a Certificate of Commitment right after enrolling, even if you haven’t finished the course. It’s ideal for busy professionals who need certification quickly but plan to complete the course later.
The course price varies based on the features you select when you enroll. We also have plans that bundle related features together, so you can choose what works best for you.
No, you won't. Once you obtain a certificate in a course, you retain access to it and the completed exercises even after your subscription expires. However, to take new exercises, you'll need to re-enroll if your subscription has run out.
To verify a certificate, visit the Verify Certificate page on our website and enter the 12-digit certificate ID. You can then confirm the authenticity of the certificate and review details such as the enrollment date, completed exercises, and their corresponding levels and scores.
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