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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