The New AI Tech Stack - AI Literacy for Tech Leaders

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Free Download The New AI Tech Stack - AI Literacy for Tech Leaders
Released 11/2024
With Maria Parysz
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 4h 26m 5s | Size: 783 MB

This course provides a comprehensive resource designed to equip tech professionals with a deep understanding of the AI technology landscape and how the AI tech stack works.
Course details
This course acts as a comprehensive resource designed to equip tech professionals with a deep understanding of the AI technology landscape and how the AI tech stack works. This course provides a practical and structured approach to mastering AI concepts, technologies, and implementation strategies, enabling you to effectively lead and manage AI initiatives within your organization. Through a combination of proven knowledge and real-world case studies, gain the skills and confidence to navigate the rapidly evolving AI ecosystem.
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The New AI Tech Stack: AI Literacy for Tech Leaders
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 4h 21m | 783 MB
Instructor: Maria Parysz​

This course acts as a comprehensive resource designed to equip tech professionals with a deep understanding of the AI technology landscape and how the AI tech stack works. This course provides a practical and structured approach to mastering AI concepts, technologies, and implementation strategies, enabling you to effectively lead and manage AI initiatives within your organization. Through a combination of proven knowledge and real-world case studies, gain the skills and confidence to navigate the rapidly evolving AI ecosystem.

Learning objectives

• Understand the foundational AI concepts, including machine learning, generative AI and deep learning, enabling effective communication and decision-making.
• Explore a wide range of AI technologies, such as natural language processing, computer vision, robotics, and autonomous systems, and their applications across various industries.
• Understand the data lifecycle in AI, including data acquisition, governance, storage, processing, and monetization strategies.
• Explore MLOps (machine learning operations) concepts and platforms for streamlined deployment, monitoring, and lifecycle management of AI models.
• Learn best practices for building and managing AI teams and projects including AI strategy development, budgeting, and effective planning and execution of AI projects.

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