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 Duration 21 hours

Course Outline

Grasping Agentic AI through Gemini 3

  • Agentic reasoning and the execution of autonomous tasks
  • Distinctive capabilities of Gemini 3 for agent workflows
  • Enterprise use cases that necessitate autonomous agents

Navigating the Antigravity Development Environment

  • Foundational concepts, architectural design, and available toolsets
  • Project and environment management strategies
  • Executing and monitoring agent operations

Architecting Autonomous Agents

  • Organizing tasks and workflows for full autonomy
  • Implementing multi-step reasoning and planning sequences
  • Creating safe and controlled action loops

Programming and Tool Interaction in Antigravity

  • Enabling agents to author and refine code
  • Assigning tasks to system tools and APIs
  • Regulating tool permissions and functional capabilities

Leveraging Multimodal Agent Capabilities with Gemini 3

  • Processing images, documents, and structured datasets
  • Synthesizing multiple modalities for sophisticated planning
  • Deriving insights to support autonomous decision-making

Connecting Agents to Enterprise Infrastructures

  • Linking Antigravity with external API endpoints
  • Interfacing with cloud services and database systems
  • Constructing comprehensive, automated business workflows

Refining and Assessing Agent Performance

  • Enhancing reliability and managing operational variability
  • Debugging and polishing agent actions
  • Optimizing performance, scaling, and workload orchestration

Ethical Usage, Safety, and Governance

  • Supervising agent autonomy within enterprise settings
  • Implementing safety rules, constraints, and governance mechanisms
  • Auditing agent decisions to ensure transparency

Conclusion and Future Directions

Requirements

  • A solid grasp of advanced AI concepts
  • Proficiency in software development and cloud-based environments
  • Familiarity with prompt engineering or model orchestration practices

Target Audience

  • AI developers
  • Software engineers
  • R&D teams

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (1)

Flow , vibe and topic on presentation

Lukasz Kowalczyk - Allegro Sp. z o.o.
Course - Google Gemini AI for Data Analysis

Upcoming Courses

Agentic Development with Gemini 3 and Google Antigravity

2026-11-17 09:30
21 hours
Mirobod
33,896,260 UZS (Online)
36,896,260 UZS (Classroom)

Agentic Development with Gemini 3 and Google Antigravity

2026-12-01 09:30
21 hours
Mirobod
33,896,260 UZS (Online)
36,896,260 UZS (Classroom)

Agentic Development with Gemini 3 and Google Antigravity

2026-12-15 09:30
21 hours
Mirobod
33,896,260 UZS (Online)
36,896,260 UZS (Classroom)

Agentic Development with Gemini 3 and Google Antigravity

2026-12-29 09:30
21 hours
Mirobod
33,896,260 UZS (Online)
36,896,260 UZS (Classroom)

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