Antigravity Fundamentals Training provides a foundational understanding of the Antigravity platform and its role in modern AI-driven workflows. This course introduces participants to Antigravity’s core concepts, capabilities, and practical applications, focusing on how it supports intelligent automation, decision-making, and productivity enhancement. The training emphasizes real-world usage, governance, and responsible adoption.

• Understand Antigravity platform fundamentals
• Learn AI workflow and automation concepts
• Use Antigravity tools for practical applications
• Apply prompt engineering and task management techniques
• Explore AI-driven business use cases

• Business and operations professionals
• AI and digital transformation teams
• Product managers and consultants
• Technology enthusiasts and beginners
• Professionals exploring emerging AI platforms

• Basic understanding of digital tools and workflows
• General awareness of AI concepts
• No programming or advanced technical knowledge required

• Understanding Antigravity core concepts and architecture
• Navigating and using Antigravity features effectively
• Applying Antigravity to productivity and automation use cases
• Evaluating outputs for accuracy and relevance
• Applying responsible and ethical AI practices

By the end of this training, participants will have a solid understanding of Antigravity and its practical applications. Learners will be able to use the platform confidently for foundational workflows, assess outputs critically, and apply Antigravity responsibly in business and professional environments.

Introduction to Antigravity and Its Ecosystem
• What is Antigravity and its key capabilities
• Use cases and industry relevance
• Positioning Antigravity among modern AI platforms

Core Concepts and Architecture
• Fundamental components of Antigravity
• How workflows and intelligence are structured
• Data, context, and execution basics

Getting Started with Antigravity
• Platform navigation and setup overview
• Understanding inputs, outputs, and controls
• Interpreting system responses

Basic Use Cases and Scenarios
• Information analysis and summarization
• Task support and productivity workflows
• Business and professional applications

Working with Antigravity Workflows
• Designing simple workflows
• Managing execution steps
• Improving reliability and consistency

Optimizing Outputs and Performance
• Refining inputs for better results
• Handling errors and inconsistencies
• Best practices for quality control

Ethics, Security, and Responsible Use
• Data privacy and security considerations
• Bias, accuracy, and risk awareness
• Responsible adoption guidelines

Hands-on Practice and Demonstrations
• Live Antigravity workflow demonstrations
• Real-world practice scenarios
• Participant exercises and feedback

• Introduction to Antigravity
• AI workflow fundamentals
• Prompting and automation concepts
• Tool usage and integrations
• AI performance and optimization

• Participation in hands-on exercises
• Practical usage-based assessment
• Knowledge evaluation

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants who successfully complete the training and evaluation will receive an AcadNXT Certificate of Completion in Antigravity Fundamentals Training, validating their foundational knowledge of the Antigravity platform.