Gemini AI Course

Lesson 1 • Core Capabilities and Modalities

Examines Gemini's multimodal abilities across text, image, audio, and code. Connects capability awareness to practical use-case identification.

Lesson 2 • Accessing Gemini Platforms

Guides learners through available interfaces including web, mobile, and API access. Ensures every student can operate Gemini before advancing.

Lesson 3 • What Gemini AI Is

Covers Gemini's origin, model family, and positioning within the broader AI landscape. Establishes context for all subsequent technical and applied learning.

Lesson 1 • Prompt Safety and Boundaries

Addresses Gemini's safety filters, refusal behaviours, and responsible prompt design. Prepares students to work within ethical and platform constraints.

Lesson 2 • Controlling Output Quality

Teaches constraint setting, tone specification, and format directives to shape responses. Directly improves output consistency for workplace deliverables.

Lesson 3 • Iterative Prompt Refinement

Covers diagnosing weak outputs and applying targeted revisions to improve results. Builds a systematic debugging mindset for prompt optimisation.

Lesson 4 • Core Prompt Structures

Introduces zero-shot, one-shot, and few-shot prompting patterns with practical examples. Provides reusable templates applicable across professional domains.

Lesson 1 • Audio and Video Input Techniques

Explores transcription, summarisation, and insight extraction from audio and video files. Expands Gemini's utility to media-heavy professional environments.

Lesson 2 • Document and PDF Analysis

Covers ingesting long documents, extracting key information, and summarising content. Enables efficient document review workflows using Gemini.

Lesson 3 • Combining Multiple Modalities

Demonstrates prompts that integrate text, images, and documents simultaneously. Builds advanced cross-modal reasoning skills for complex analysis tasks.

Lesson 1 • Multimodal API Requests

Demonstrates sending images, audio, and documents through the API alongside text. Extends API skills to full multimodal application development.

Lesson 2 • Advanced API Parameters

Explores temperature, top-p, top-k, and stop sequences to fine-tune API outputs. Enables precise control over model behaviour in production systems.

Lesson 3 • API Setup and Authentication

Walks through API key configuration, environment setup, and authentication best practices. Establishes a secure, working development environment.

Lesson 4 • Making Your First API Calls

Covers basic request structure, response parsing, and error handling for Gemini API. Produces working code learners can immediately adapt.

Lesson 1 • Designing Chatbot Personas

Covers system instructions, persona definition, and tone consistency for chatbot design. Enables creation of branded, role-specific conversational agents.

Lesson 2 • Multi-Turn Conversation Mechanics

Explains how Gemini maintains context across turns and how history affects responses. Provides the foundation for designing coherent dialogue flows.

Lesson 3 • Evaluating Conversation Quality

Introduces metrics and methods for assessing chatbot performance and user satisfaction. Connects evaluation to iterative improvement of deployed systems.

Lesson 1 • Self-Consistency and Verification

Covers techniques for generating multiple outputs and cross-checking for consistency. Reduces hallucination risk in high-stakes professional applications.

Lesson 2 • Meta-Prompting and Prompt Generation

Demonstrates using Gemini to generate, evaluate, and optimise prompts automatically. Accelerates prompt development and scales prompt engineering efforts.

Lesson 3 • Grounding and Retrieval Augmentation

Explains grounding Gemini outputs with external knowledge sources to reduce hallucinations. Prepares students to build accurate, source-backed AI applications.

Lesson 4 • Chain-of-Thought Prompting

Teaches prompts that elicit step-by-step reasoning to improve accuracy on complex tasks. Directly enhances output reliability for analytical and logical problems.

Lesson 1 • Integrating Gemini into Daily Work

Guides adoption of Gemini across common tools and daily routines for sustained productivity. Ensures skills transfer from training into consistent workplace practice.

Lesson 2 • AI-Assisted Writing and Editing

Covers drafting, rewriting, summarising, and proofreading professional documents with Gemini. Directly accelerates content production for business communication.

Lesson 3 • Automating Repetitive Tasks

Identifies high-frequency tasks suitable for AI automation and builds prompt-based workflows. Reduces manual effort and increases throughput for routine work.

Lesson 4 • Data Analysis and Interpretation

Demonstrates uploading datasets, generating insights, and interpreting results with Gemini. Enables non-technical professionals to extract value from structured data.

Lesson 1 • Cost Management and Optimisation

Teaches token budgeting, model selection trade-offs, and usage monitoring to control costs. Enables financially sustainable deployment of Gemini at scale.

Lesson 2 • Monitoring and Observability

Introduces logging, performance metrics, and alerting strategies for live Gemini systems. Enables proactive detection and resolution of production issues.

Lesson 3 • Production Architecture Patterns

Covers common architectural patterns for embedding Gemini in scalable backend systems. Provides blueprints applicable to enterprise and startup environments alike.

Lesson 4 • Governance and Responsible Scaling

Covers AI governance frameworks, bias auditing, and stakeholder communication for scaled deployments. Builds organisational trust and accountability in AI systems.