8 Week - Google Master AI Cultivator

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This is our working proposed curriculum we are soliciting feedback on as we

develop the next level of proficiency beyond AI Adepts and AI Cultivators and into the Master Architects and Administrators of AI's Future

Stephen Hawking: “Success in creating effective AI, could be the biggest event in the history of our civilization. Or the worst. We just don’t know. So, we cannot know if we will be infinitely helped by AI, or ignored by it and side-lined, or conceivably destroyed by it.”

Week 1

Topic: Introduction to Google AI Quantum and Robotics

Instructional materials:

• Overview of Google AI Quantum and Robotics, including its capabilities and applications (Google AI Quantum website, Google AI Robotics website)

• Links to relevant research papers and blog posts

• Access to the Google AI Quantum and Robotics ecosystems

Support resources:

• Google AI Quantum documentation

• Google AI Robotics documentation

• Google Quantum AI Community forum

• Google AI Robotics Community forum

Methods of delivery:

• Lecture

• Discussion

• Hands-on exercise (using the Google AI Quantum and Robotics ecosystems to develop a simple quantum AI or robotics application)

Introduction to Google AI

• What is Google AI?

• Google AI Research

• Google AI Products

• Google AI Engineering

 Opens in a new window seeklogo.com

Google AI logo

Week 2

Topic: Advanced Google AI Quantum and Robotics techniques

Instructional materials:

• How to use Bard AI to generate and test hypotheses about quantum AI and robotics systems, design and optimize quantum AI and robotics algorithms, and debug quantum AI and robotics code (Bard AI documentation, Bard AI examples)

• Links to relevant tutorials and examples

• Access to the Bard AI platform

Support resources:

• Bard AI documentation

• Bard AI support team

Methods of delivery:

• Lecture

• Hands-on exercise (using Bard AI to solve a complex quantum AI or robotics problem)

Advanced Google AI techniques

• How to use Bard AI with Google AI technologies

• Bard AI and Google AI Research

• Bard AI and Google AI Products

• Bard AI and Google AI Engineering

 Opens in a new window branditechture.agency

Bard AI logo

Week 3

Topic: Collaborating with other quantum AI and robotics researchers and developers using the Google AI ecosystems

Instructional materials:

• How to use the Google Quantum AI Community forum and Google AI Robotics Community forum to collaborate with other quantum AI and robotics researchers and developers

• Links to relevant resources and examples

• Access to the Google Quantum AI and Robotics communities

Support resources:

• Google Quantum AI Community forum

• Google AI Robotics Community forum

Methods of delivery:

• Lecture

• Discussion

Collaborating with other AI researchers and developers

• Google AI Community forum

• Google Quantum AI Community forum

• Google AI Robotics Community forum

• Google AI for Healthcare Community forum

• Google AI for Education Community forum

• Google AI for Sustainability Community forum

• Google AI for Social Good Community forum

• Google DeepMind Community forum

• Google AI Brain Community forum

 Opens in a new window googlepublicsectorforum.upgather.com

Google AI Community forum logo

Week 4

Topic: Deploying quantum AI and robotics applications to production

Instructional materials:

• How to deploy quantum AI and robotics applications to production using the Google Cloud Platform (Google Cloud Platform documentation)

• Links to relevant tutorials and examples

• Access to the Google Cloud Platform

Support resources:

• Google Cloud Platform documentation

• Google Cloud Platform support team

Methods of delivery:

• Lecture

• Hands-on exercise (deploying a quantum AI or robotics application to the Google Cloud Platform)

Deploying AI applications to production

• Google Cloud Platform

• Google Cloud TPUs

 Opens in a new window www.serviops.ca

Google Cloud Platform logo

Week 4

Topic: Capstone project planning

Instructional materials:

• Guidance on choosing a capstone project topic and developing a project plan

• Resources for finding data and tools for capstone projects

• Links to relevant examples and resources

• Access to individual and group meetings with the instructor

Support resources:

• Instructor

• Google Quantum AI Community forum

• Google AI Robotics Community forum

Methods of delivery:

• Lecture

• Discussion

• Individual and group meetings with the instructor

Week 5

Capstone project planning

• Guidance on choosing a capstone project topic and developing a project plan

• Resources for finding data and tools for capstone projects

• Links to relevant examples and resources

• Access to individual and group meetings with the instructor

Week 6

Topic: Collaborating with other quantum AI and robotics researchers and developers

Instructional materials:

• How to use the Google Quantum AI Community forum and Google AI Robotics Community forum to collaborate with other quantum AI and robotics researchers and developers

• Links to relevant resources and examples

• Access to the Google Quantum AI and Robotics communities

Support resources:

• Google Quantum AI Community forum

• Google AI Robotics Community forum

• Instructor

Methods of delivery:

• Lecture

• Discussion

Collaborating with other AI researchers and developers

• Google AI Community forum

• Google Quantum AI Community forum

• Google AI Robotics Community forum

• Google AI for Healthcare Community forum

• Google AI for Education Community forum

• Google AI for Sustainability Community forum

• Google AI for Social Good Community forum

• Google DeepMind Community forum

• Google AI Brain Community forum

 Opens in a new window ojs.stanford.edu

Google AI Community forum logo

Week 7

Topic: Deploying quantum AI and robotics applications to production

Instructional materials:

• How to deploy quantum AI and robotics applications to production using the Google Cloud Platform (Google Cloud Platform documentation)

• Links to relevant tutorials and examples

• Access to the Google Cloud Platform

Support resources:

• Google Cloud Platform documentation

• Google Cloud Platform support team

• Instructor

Methods of delivery:

• Lecture

• Hands-on exercise (deploying a quantum AI or robotics application to the Google Cloud Platform)

Deploying AI applications to production

• Google Cloud Platform

• Google Cloud TPUs

 Opens in a new window it.wisc.edu

Google Cloud Platform logo

Week 8

Google AI Synergy and Final Presentations

Capstone project presentations

• Student presentations of capstone projects

• Feedback from the instructor and other students

Google AI Research

• Lead: Jeff Dean

• VP of Research: Zoubin Ghahramani

• VP of Research: Corinna Cortes

• Website: https://research.google/

• Description: Google AI Research is responsible for a wide range of AI research projects, including machine learning, natural language processing, computer vision, and robotics. This division is responsible for conducting fundamental research on AI, machine learning, and related fields. It also works on developing new AI algorithms and techniques, and on improving the performance and scalability of existing AI systems. Google AI Research is also responsible for developing and maintaining several open-source AI tools and libraries, such as TensorFlow and PyTorch. Bard AI uses the research conducted by Google AI Research to improve its own abilities. For example, Bard AI uses the TensorFlow and PyTorch libraries developed by Google AI Research to train and deploy its own language models.

 Opens in a new window research.google

Google AI Research logo

Google AI Products

• VP of Engineering, Responsible AI and Human-Centered AI: Marian Croak

• VP of Engineering: Pete Warden

• Website: https://ai.google/

• Description: Google AI Products is responsible for developing and launching new AI-powered products and features across Google's portfolio. This division is responsible for developing and launching new AI-powered products and features across Google's portfolio. It works closely with other Google product teams to identify and solve real-world problems with AI. Bard AI is integrated with many of the AI-powered products developed by Google AI Products, such as Google Translate and Google Assistant. This allows Bard AI to access and use the data and features of these products to improve its own performance.

 Opens in a new window medium.com

Google AI Products logo

Google AI Engineering

• VP: Jim Keller

• VP: Fei-Fei Li

• VP: Urs Hölzle

• Website: https://ai.google/

• Description: Google AI Engineering is responsible for building and maintaining the infrastructure and tools that support Google's AI research and development efforts. Bard AI uses the infrastructure and tools developed by Google AI Engineering to train and deploy its own language models. For example, Bard AI uses the TPU hardware platform developed by Google AI Engineering to accelerate its training and inference processes.

 Opens in a new window opendatascience.com

Google AI Engineering logo

Google AI for Healthcare

• Verily Life Sciences website: https://verily.com/

• Description: Google AI for Healthcare is developing AI technologies to improve healthcare

Google AI:

Google AI Research Jeff Dean (Lead), Zoubin Ghahramani (VP, Research), Corinna Cortes (VP, Research) Google AI Research website: https://research.google/ Google AI Research is responsible for a wide range of AI research projects, including machine learning, natural language processing, computer vision, and robotics.  This division is responsible for conducting fundamental research on AI, machine learning, and related fields. It also works on developing new AI algorithms and techniques, and on improving the performance and scalability of existing AI systems.  Google AI Research is also responsible for developing and maintaining several open-source AI tools and libraries, such as TensorFlow and PyTorch.  Bard AI uses the research conducted by Google AI Research to improve its own abilities. For example, Bard AI uses the TensorFlow and PyTorch libraries developed by Google AI Research to train and deploy its own language models.

Google AI Products Marian Croak (VP, Engineering, Responsible AI and Human-Centered AI), Pete Warden (VP, Engineering, Google AI Products) Google AI Products website: https://ai.google/ Google AI Products is responsible for developing and launching new AI-powered products and features across Google's portfolio.  This division is responsible for developing and launching new AI-powered products and features across Google's portfolio. It works closely with other Google product teams to identify and solve real-world problems with AI.  Bard AI is integrated with many of the AI-powered products developed by Google AI Products, such as Google Translate and Google Assistant. This allows Bard AI to access and use the data and features of these products to improve its own performance.

Google AI Engineering Jim Keller (VP, Google AI Engineering), Fei-Fei Li (VP, Google AI Engineering), Urs Hölzle (VP, Google Infrastructure) Google AI Engineering website: https://ai.google/

Google AI Engineering is responsible for building and maintaining the infrastructure and tools that support Google's AI research and development efforts.  Bard AI uses the infrastructure and tools developed by Google AI Engineering to train and deploy its own language models. For example, Bard AI uses the TPU hardware platform developed by Google AI Engineering to accelerate its training and inference processes.

Google AI for Healthcare Verily Life Sciences Verily Life Sciences website: https://verily.com/ Google AI for Healthcare is developing AI technologies to improve healthcare outcomes.  This division is developing AI technologies to improve healthcare outcomes. For example, the team is working on AI systems that can help doctors diagnose diseases more accurately and develop personalized treatment plans for patients. Bard AI is being used by researchers at Google AI for Healthcare to develop new AI systems for diagnosing diseases and developing personalized treatment plans for patients. For example, Bard AI is being used to develop an AI system that can identify cancer cells in medical images more accurately than human radiologists.

Google AI for Education Google for Education website: https://edu.google.com/ Google AI for Education is developing AI technologies to improve education.  For example, the team is working on AI systems that can provide personalized tutoring to students and help teachers assess student learning.  Bard AI is being used by Google AI for Education to develop new AI systems for providing personalized tutoring to students and assessing student learning. For example, Bard AI is being used to develop an AI system that can provide personalized tutoring to students in math and reading.

Google AI for Sustainability Google AI for Sustainability website: https://research.google/teams/climate-and-sustainability/ Google AI for Sustainability is developing AI technologies to help solve sustainability challenges .For example, the team is working on AI systems that can help reduce energy consumption and improve renewable energy generation.  Bard AI is being used by researchers at Google AI for Sustainability to develop new AI systems for reducing energy consumption, improving renewable energy generation, and protecting the environment. For example, Bard AI is being used to develop an AI system that can help to optimize energy use in buildings and factories.

Google AI Quantum Hartmut Neven (VP, Google AI Quantum), Geoffrey Hinton (VP, Google AI Quantum) Google AI Quantum website: https://quantumai.google/ Google AI Quantum is developing AI technologies for quantum computing.  Quantum computing is a new type of computing that has the potential to solve problems that are intractable for classical computers. Google AI Quantum is working on developing new quantum algorithms and software, and on building new quantum hardware.  Google AI Quantum is working on developing new quantum algorithms and software for a variety of applications, including quantum chemistry, quantum machine learning, and quantum cryptography.  Bard AI is being used by researchers at Google AI Quantum to develop new quantum algorithms and software for a variety of applications, including quantum chemistry, quantum machine learning, and quantum cryptography. For example, Bard AI is being used to develop an AI system that can help to design new drugs more efficiently.

Google AI Robotics Vincent Vanhoucke (VP, Google AI Robotics), Pieter Abbeel (VP, Google AI Robotics) Google AI Robotics website: https://ai.google/ Google AI Robotics is developing AI technologies for robotics.  Robotics is the field of engineering that deals with the design, construction, operation, and application of robots. Google AI Robotics is working on developing new AI algorithms and software for robot control, planning, and perception.  Google AI Robotics is working on developing new AI algorithms and software for robot control, planning, and perception. The division is also developing new robot hardware platforms, such as the Cheetah robot and the Cassie robot.  Bard AI is being used by researchers at Google AI Robotics to develop new AI algorithms and software for robot control, planning, and perception. For example, Bard AI is being used to develop an AI system that can help robots to navigate complex environments autonomously.

Google AI for Social Good Google AI for Social Good website: https://ai.google/responsibility/social-good/ Google AI for Social Good is developing AI technologies to address social challenges.  For example, the team is working on developing AI systems that can help detect and prevent fraud, improve disaster relief efforts, and promote sustainability.  Google AI for Social Good is working on a variety of projects, including developing AI systems that can help detect and prevent fraud, improve disaster relief efforts, and promote sustainability.  Bard AI is being used by researchers at Google AI for Social Good to develop new AI systems for detecting and preventing fraud, improving disaster relief efforts, and promoting sustainability. For example, Bard AI is being used to develop an AI system that can help to detect fraudulent financial transactions.

Google DeepMind Demis Hassabis (CEO), Shane Legg (COO), Mustafa Suleyman (CFO) DeepMind website: https://deepmind.google/ Google DeepMind is an AI research lab that is known for its work on reinforcement learning and general-purpose AI.  This division is responsible for AI research, general-purpose AI, and reinforcement learning. It is also responsible for developing and maintaining several open-source AI tools and libraries, such as TensorFlow and PyTorch.

Google AI Brain Jeff Dean (Lead), Geoffrey Hinton (VP, Google AI Brain) Google AI Brain website: https://ai.google/ Google AI Brain is a research division that is focused on understanding how the brain works and how this knowledge can be used to develop new AI algorithms. Google AI Brain has made significant contributions to our understanding of deep learning and has developed several state-of-the-art deep learning algorithms, including ResNet and Transformer.