AI Model Trends: The Latest You Need to Know

Major AI providers are shipping new models at a pace that's hard to track. This course gives you a single, reliable place to make sense of it all. Covering OpenAI, Anthropic, Google Gemini, and top open-weight models, each video breaks down what's new. Explore the models perform, how the features work, the costs, and whether the updates matters for your projects. Review developer-focused use cases, benchmark comparisons, and honest assessments of deprecation risk. Stay tuned for the latest news—this course is updated regularly to keep the content current.

Learning objectives
Identify the key differences between major AI model families from OpenAI, Anthropic, Google, and leading open-weight providers.
Evaluate AI model performance using benchmarks, speed metrics, and pricing to determine the best fit for a given project.
Describe what changed in each new model release and distinguish meaningful upgrades from incremental updates.
Apply practical examples and use cases to select the right model for tasks like code generation, multimodal workflows, and agentic features.
Explain the competitive landscape across OpenAI, Anthropic, Google Gemini, and the open-weight ecosystem.
Determine when a new model release requires immediate action versus when it's safe to wait.