Start your journey into ai analytics with foundational concepts and hands-on exercises designed for newcomers.
Basic statistics helpful; will be taught
Some coding experience; Python or R preferred
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BeginnerOnline Learning Analytics Graduate Certificate
IntermediateLearning Analytics
IntermediateIntroduction to Vertex AI
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IntermediateData Fundamentals for AI
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BeginnerFollow these courses in order to complete the learning path. Click on any course to enroll.
Google’s AI Course for Beginners (in 10 minutes)!
Learn 99% of Beginners Don't Know the Basics of AI
Generative AI Roadmap For Absolute Beginners 🔥
OpenCV Python Tutorial 1 - Introduction & Images
Learn How I'd learn ML in 2025 (if I could start over)
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Natural Language Processing In 10 Minutes | NLP Tutorial For Beginners | NLP Training | Simplilearn
This online graduate certificate program provides knowledge and skills in fundamental theories, concepts, and deliverables in learning analytics, including collecting, storing, and managing educational data, basic statistics, programming in analytics software, and data visualization.
This online course teaches how to build a data-driven L&D function with learning analytics to measure the impact and effectiveness of training programs and design cost-effective learning interventions with high RO Is.
This microlearning course provides a foundational understanding of Vertex AI, guiding learners through the platform's interface and its core components. The curriculum is designed to impart strategic insights into how Vertex AI can be effectively utilized in various projects. It is suitable for aspiring data scientists, machine learning enthusiasts, and professionals looking to leverage the power of AI. The course covers the basics of Vertex AI, its key features, and its role in the ML Ops process.
A learning path that provides a comprehensive overview of how people analytics and AI are transforming human resources. The courses cover topics such as using data and AI to make better hiring decisions, improve employee performance, and reduce turnover. It touches upon how AI can be used for talent assessment and understanding workforce dynamics.
This module helps you understand the different types of AI, where they can be used, and how data impacts each type, enabling you to stay relevant in an AI-focused world.
This course covers the basics of unsupervised learning, supervised learning, reinforcement learning algorithms, and generative models with applications in electric power systems.
Explore related content to expand your skills beyond this learning path.
Enroll in this path to track your progress and stay motivated.