All AI & Technology courses
168 courses
Courses in this topic
Generative AI Fundamentals
Explore core generative AI concepts, its purpose, and real-world examples to understand how these systems create new content and where they're applied.
13 slides·26 min
Generative AI Fundamentals
This training introduces learners to core concepts of generative AI, including key models, use cases, and practical applications. Participants will gain foundational knowledge to understand how generative AI works and its real-world impact.
15 slides·30 min
Generative AI Fundamentals
This training explains how generative AI works, equipping participants with a foundational understanding of its core mechanisms and capabilities.
15 slides·30 min
Generative AI in Creative Work
Explore how generative AI is transforming creative industries and learn to harness these tools effectively in your own workflow.
14 slides·28 min
Generative AI Learning Risks
This training explores how generative AI can negatively impact learning and growth.
14 slides·28 min
Getting Started with Generative AI
Introductory training on generative AI fundamentals, designed for beginners to understand core concepts, capabilities, and practical applications.
8 slides·16 min
How Large Language Models Work
A beginner-friendly overview of how large language models learn, reason, and generate text.
16 slides·32 min
Communicating Generative AI to Stakeholders
This training helps professionals explain generative AI to stakeholders, covering key concepts and clear communication strategies to build understanding and support.
14 slides·28 min
Measuring Generative AI Outcomes
A training for professionals on measuring the outcomes and impact of generative AI initiatives, covering key metrics and evaluation methods.
14 slides·28 min
Generative AI Roadmap: Priorities & Communication
This roadmap training helps teams and technical leaders prioritize generative AI milestones and communicate progress effectively.
14 slides·28 min
Evaluating Generative AI Quality
This training teaches professionals to evaluate generative AI output quality, covering key criteria and practical assessment methods.
14 slides·28 min
Generative AI Platform Selection and Architecture
This training helps technical decision-makers evaluate generative AI platforms, covering selection criteria, architecture patterns, and key tradeoffs to make informed adoption choices.
14 slides·28 min
Agentic AI vs Generative AI
This training explains the differences, tradeoffs, and use cases of agentic AI versus generative AI for professionals evaluating AI solutions.
14 slides·28 min
Building Applications with Generative AI
Learn a practical workflow for building generative AI applications, from prompt design to deployment. Ideal for developers and technical professionals new to GenAI.
14 slides·28 min
Intro to Python Programming
A beginner-friendly training that teaches the fundamentals of Python programming, including syntax, data types, and control flow, for new developers.
8 slides·16 min
Python Data Types Fundamentals
This training teaches Python developers core data types, including integers, floats, strings, lists, tuples, and dictionaries, enabling effective data manipulation and storage in real-world applications.
14 slides·28 min
Python Functions and Data Structures
Learn to write reusable Python functions and work with key data structures like lists, dictionaries, and tuples to organize and manipulate data effectively.
16 slides·32 min
Python Programming Practice
A hands-on training course with Python programming practice problems, designed to help learners build and reinforce essential coding skills through practical exercises.
14 slides·28 min
Python Decision Documentation
This training teaches Python programmers how to document coding decisions clearly and consistently, improving code maintainability for developers and technical teams.
13 slides·26 min
Ethics and Responsible Practice in Python Programming
This training teaches Python programmers how to apply ethical principles and responsible practices in software development, covering key considerations for building trustworthy code.
14 slides·28 min
Reviewing Python Programming Projects
This training teaches reviewers how to evaluate Python programming projects, covering code quality, structure, and best practices for providing effective feedback.
13 slides·26 min
Python Troubleshooting Essentials
This training helps developers diagnose and fix common Python programming errors. It covers practical debugging techniques for syntax, runtime, and logic issues.
14 slides·28 min
Advanced Python Programming Patterns
This advanced Python course helps experienced developers master complex patterns to write more efficient, maintainable, and scalable code.
14 slides·28 min
Python Programming Roadmap
This roadmap guides aspiring Python developers through key priorities and milestones, with communication strategies to track progress and achieve programming goals.
14 slides·28 min