用应用人工智能加速你的未来
Robert Gillespie, Philip Bell, Hau Nguyen和Ahn Nuzen
- Program Credit Options: Associate of Science Degree in 应用 人工智能, 成绩证书, and Certificate of Proficiency.
- 非学分选项:AI基础知识和AI开发人员完成证书
- 行业合作伙伴:NVIDIA深度学习学院
- Core Topics: Machine Learning, Generative AI, Large Language Models, Cloud AI, Prompt Engineering
- Hands-On Tools: TensorFlow, PyTorch, Hugging Face, Stable Diffusion, OpenCV, AWS, Azure, GCP
- Career Fields: 数据科学, AI Development, Cybersecurity, Cloud Engineering, Research, and more
计算机科学教授出版开创性的人工智能书籍
安奴真教授
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人工智能的计算理论 - 战略与国际研究中心185 - An Intuitive Math Approach to Artificial Intelligence
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网络安全和人工智能与Python - 战略与国际研究中心252 - Data Structures for AI and Security Applications
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大型语言模型导论 (LLMs) - 战略与国际研究中心266 - A Practical Approach to Understanding LLMs
应用人工智能理学副学士及成绩证书。
The Computer Science Information Systems (战略与国际研究中心) curricula provides a foundation in computing and information systems serving the diverse goals of the Grossmont community: employment in various phases of the computing industry, transfer to a baccalaureate institution for continued study in the computer and information sciences, training in selected topics for application in other professions or for personal enrichment, and advanced study for returning computing professionals. Throughout, emphasis is placed on blending fundamental theory and technique with practical applications in business, scientific and academic computing. A guiding principle is the use of intense hands-on instruction with state-of-the-art computer technology.
Three related but distinct areas of emphasis designed to provide corresponding job entry points are available as two-year curricula: Computer Vision, Natural Language Processing, and Deep Learning. Completion of the Computer Science Information Systems core courses or their equivalent plus any one area of emphasis satisfies the major requirements for the Associate Degree.
An area of emphasis leading to an entry level position which specializes in artificial intelligence or machine learning. Students completing this sequence will be expected to assist data analysts, data driven decision making, and automation for small, medium, and large-sized organizations.
·AI系统测试员
·数据注释器/标签器
·初级AI开发人员
·自动化技术员
·聊天机器人维护技术员
·AI服务台支持
·初级数据分析师
·过程自动化助理
·AI培训师
·数据科学家
·机器学习工程师
·AI研究员
·AI产品经理
·自然语言处理(NLP)专家
·计算机视觉工程师
·AI/ML顾问
·深度学习工程师
·数据工程师
·AI伦理专家
·商业智能分析师
·AI系统架构师
*本科以上学历。
专业要求
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注意:所有课程必须以“C”或更高的字母成绩完成。 |
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|
主题及编号 |
标题 |
单位 |
| 战略与国际研究中心115 | 人工智能(AI)和机器学习(ML)简介 | 3 |
| 战略与国际研究中心185 | 人工智能的计算理论 | 3 |
|
战略与国际研究中心250 |
Python编程入门 |
4 |
| 战略与国际研究中心252 | 网络安全和人工智能与Python | 4 |
|
战略与国际研究中心256 |
生成式AI模型简介 |
3 |
| 战略与国际研究中心266 | 大型语言模型导论 | 3 |
| 战略与国际研究中心275 | 人工智能提示设计 | 3 |
|
战略与国际研究中心292 |
人工智能在云计算中的应用 | 3 |
| 142年菲尔 | 技术伦理 | 3 |
|
选择至少3个 单位来自 后: |
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| 战略与国际研究中心235 | 深度学习(DL) | 3 |
|
战略与国际研究中心225 |
自然语言处理(NLP) |
3 |
|
战略与国际研究中心285 |
计算机视觉(CV) | 3 |
|
总 |
32 |
|
成绩证书
Any student who chooses to complete only the requirements listed above qualifies for a 成绩证书 in 应用 人工智能. An official request must be filed with the 招生 and Records Office prior to the deadline stated in the Academic Calendar.
应用人工智能熟练证书
The certificate prepares students by covering an area of emphasis leading to an entry level position which specializes in artificial intelligence or machine learning. Students completing this sequence will be expected to assist data analysts, data driven decision making, and automation for small, medium, and large-sized organizations.
项目级学生学习成果(pslo) below are outcomes that students will achieve after completing specific degree / certificate requirements in this program. Students will utilize the latest AI tools and frameworks to solve problems, automate processes, and analyze data.
1. Analyze and evaluate machine learning and artificial intelligence frameworks that best fit a problem, data set, or process automation in a business and/or scientific environment.
2. 设计一个技术上可行和有效的解决方案。
3. 站起来并实现解决方案。
4. 演示并解释解决方案。
需求
|
注意:所有课程必须以“C”或更高的字母成绩完成。 |
||
|
主题及编号 |
标题 |
单位 |
| 战略与国际研究中心115 | 人工智能(AI)和机器学习(ML)简介 | 3 |
| 战略与国际研究中心250 | Python编程入门 | 4 |
|
战略与国际研究中心256 |
生成式人工智能模型简介 |
3 |
| 战略与国际研究中心266 | 大型语言模型导论 | 3 |
|
总 |
13 |
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Any student who chooses to complete only the courses related to growing industry focuses listed above qualifies for a Certificate of Proficiency in 应用 人工智能. Certificates of Proficiency are designed for the student who needs to be prepared to enter an entry-level job. A department-issued certificate may be awarded upon successful completion of a prescribed course of study. This certificate will not appear on a student’s transcript.
人工智能 开发人员 熟练证书(非学分)
人工智能(AI) 开发人员 Certificate of Proficiency program is designed for individuals seeking to gain foundational knowledge and practical skills in AI technologies through a focused, non-credit curriculum. This program emphasizes accessibility and hands-on learning, making it ideal for beginners, career changers, or professionals seeking to enhance their skill set. Students will learn how to implement AI, including generative AI, large language models, and practical applications in cloud computing.
This certificate can serve as a stepping stone toward further study in AI or as a standalone credential to improve job readiness in roles involving AI-assisted tools and processes.
职业发展机会
- 初级AI/ML开发人员
- 人工智能工具专家
- AI业务应用程序开发人员
注意: This certificate is non-credit and designed for foundational knowledge. Additional certifications or degrees may be required for advanced roles.
项目级学生学习成果(pslo) below are outcomes that students will achieve after completing specific degree / certificate requirements in this program. Students will utilize the latest AI tools and frameworks to solve problems, automate processes, and analyze data.
- Understand and implement foundational concepts of artificial intelligence, including generative AI, large language models, and their practical applications.
- Build custom AI tools such as prompt and cloud based AI solutions, to solve real-world problems.
- Demonstrate proficiency in developing AI tools to automate processes, analyze data, and enhance decision-making.
熟练证书要求
获得人工智能 开发人员 Certificate of Proficiency, students must complete all the following courses below. All courses are non-credit and focus on building foundational AI knowledge and skills. Certificates of Proficiency are designed for the student who needs to be prepared to enter an entry-level job. A department-issued certificate may be awarded upon successful completion of a prescribed course of study. This certificate will not appear on a student’s transcript. 注意:所有非学分课程必须以“及格”学分完成。
|
注意:所有课程必须以“C”或更高的字母成绩完成。 |
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主题及编号 |
标题 |
单位 |
| 战略与国际研究中心093 | 什么是生成式人工智能 | 0 |
| 战略与国际研究中心094 | 开始使用大型语言模型 | 0 |
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战略与国际研究中心095 |
利用 人工智能 在云计算中 |
0 |
人工智能 基本面 熟练证书(非学分)
人工智能(AI) 基本面 Certificate of Proficiency program is designed for individuals seeking to gain foundational knowledge and practical skills in AI technologies through a focused, non-credit curriculum. This program emphasizes accessibility and hands-on learning, making it ideal for beginners, career changers, or professionals seeking to enhance their skill set. Students will explore key topics in AI, including generative AI, large language models, and prompt design, while addressing ethical considerations and practical applications in cloud computing.
This certificate can serve as a stepping stone toward further study in AI or as a standalone credential to improve job readiness in roles involving AI-assisted tools and processes.
职业发展机会
- AI爱好者或倡导者
- 人工智能伦理分析师
- 人工智能应用支持专员
- 促使设计师
- AI云技术用户
- AI工具技术支持
注意: This certificate is non-credit and designed for foundational knowledge. Additional certifications or degrees may be required for advanced roles.
项目级学生学习成果(pslo) below are outcomes that students will achieve after completing specific degree / certificate requirements in this program. Students will utilize the latest AI tools and frameworks to solve problems, automate processes, and analyze data.
- Explain foundational concepts of artificial intelligence, including generative AI, large language models, and their practical applications.
- 应用 AI tools and techniques, such as prompt design and cloud-based AI solutions, to solve real-world problems.
- Evaluate ethical considerations and societal impacts of AI technologies in professional and personal contexts.
- Demonstrate proficiency in using AI-assisted tools to automate processes, analyze data, and enhance decision-making.
熟练证书要求
获得人工智能 基本面 Certificate of Proficiency, students must complete all the following courses below. All courses are non-credit and focus on building foundational AI knowledge and skills. Certificates of Proficiency are designed for the student who needs to be prepared to enter an entry-level job. A department-issued certificate may be awarded upon successful completion of a prescribed course of study. This certificate will not appear on a student’s transcript. 注意: All non-credit courses must be completed with a “pass” credit.
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主题及编号 |
标题 |
单位 |
| 战略与国际研究中心090 | 人工智能 启动 | 0 |
| 战略与国际研究中心091 | 人工智能-工作场所伦理问题 | 0 |
|
战略与国际研究中心092 |
更好的提示设计 |
0 |