🔷 Gemini Mastery
Learn Gemini Mastery on AI4AI — short, hands-on lessons with live AI runs, at three reading levels (beginner to expert). Free to start.
What you'll learn
- The Gemini Family: Pro, Flash, Nano & the Giant Context Window (7 min) — ⚡ As of mid-2026, Google's Gemini lineup has three main tiers, each optimized for a different cost-speed-capability tra…
- Long-Context Superpowers: Feeding Entire Books, Codebases & Videos to Gemini (8 min) — ⚡ Gemini 1.5 Pro and Gemini 2.0/2.5 models ship with a context window of up to 1 million tokens (roughly 750,000 words,…
- Native Multimodality: Reasoning Over Images, Audio, and Video Together (8 min) — Gemini 1.5 and later models (including Gemini 2.0 Flash and Gemini 2.5 Pro) are natively multimodal: a single model pro…
- Grounding with Google Search: Live, Cited Answers in Gemini (7 min) — ⚡ Gemini models have a training knowledge cutoff — facts baked in during training become stale over time. Grounding wit…
- Gemini in Workspace & the API: Docs, Sheets, Gmail, and Code (8 min) — ⚡ Google has embedded Gemini into Workspace (Docs, Sheets, Slides, Gmail, Drive) through a feature set called **Gemini …
- Function Calling & Structured Output: Building Reliable Gemini Agents (9 min) — Function calling lets Gemini signal that it needs external data or an action, rather than hallucinating an answer. You …
Lessons
The Gemini Family: Pro, Flash, Nano & the Giant Context Window
⚡ As of mid-2026, Google's Gemini lineup has three main tiers, each optimized for a different cost-speed-capability tradeoff. **Gemini Nano** runs on-device (Pixel phones, Android, Chrome). It has no network latency and keeps data local, making it ideal for autocomplete, summari…
Long-Context Superpowers: Feeding Entire Books, Codebases & Videos to Gemini
⚡ Gemini 1.5 Pro and Gemini 2.0/2.5 models ship with a context window of up to 1 million tokens (roughly 750,000 words, ~3,000 pages of text, or about 1 hour of video). Gemini 2.5 Pro extends this to 2 million tokens in preview. A token is the model's basic unit of text — approx…
Native Multimodality: Reasoning Over Images, Audio, and Video Together
Gemini 1.5 and later models (including Gemini 2.0 Flash and Gemini 2.5 Pro) are natively multimodal: a single model processes text, images, audio, video, and code within one unified context window rather than routing each modality through separate specialist models that are late…
Grounding with Google Search: Live, Cited Answers in Gemini
⚡ Gemini models have a training knowledge cutoff — facts baked in during training become stale over time. Grounding with Google Search fixes this by letting Gemini issue real-time web queries before composing its response. The model retrieves current web content, synthesizes it,…
Gemini in Workspace & the API: Docs, Sheets, Gmail, and Code
⚡ Google has embedded Gemini into Workspace (Docs, Sheets, Slides, Gmail, Drive) through a feature set called **Gemini for Google Workspace**. Each surface exposes a side panel or inline prompt bar where users invoke Gemini with natural-language instructions — no coding required…
Function Calling & Structured Output: Building Reliable Gemini Agents
Function calling lets Gemini signal that it needs external data or an action, rather than hallucinating an answer. You declare one or more tools as JSON Schema objects (name, description, parameters). Gemini returns a `functionCall` part instead of plain text; your code executes…