Build on your existing knowledge with intermediate ai analytics techniques and real-world applications.
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Descriptive and inferential statistics
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BeginnerPeople Analytics and AI in HR
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IntermediateFollow these courses in order to complete the learning path. Click on any course to enroll.
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The Essential Main Ideas of Neural Networks
Transformers Explained - How transformers work
Learn AI, Machine Learning, Deep Learning and Generative AI Explained
How AI Image Generators Work (Stable Diffusion / Dall-E) - Computerphile
Transformer Neural Networks - EXPLAINED! (Attention is all you need)
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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.
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See the side-by-side breakdown and our pick by scenario
Build on your existing knowledge with intermediate ai analytics techniques and real-world applications.
You'll work through Deepen your understanding with advanced concepts; Build more complex real-world projects; Learn optimization and best practices; Perform exploratory data analysis (EDA) on complex datasets; Clean and preprocess data for analysis; Create compelling data visualizations.
About 3 hours of study across 15 courses — and you can go at your own pace.
It's pitched at intermediate level, so a little prior familiarity helps.
15 curated courses, sequenced from foundational to advanced.
Around $89 total if you buy every course — but many include free audit options.
Enroll in this path to track your progress and stay motivated.