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.