Google Antigravity is not merely an advanced IDE; it represents a workspace designed for an agent-first future, where AI agents go beyond suggesting code lines to autonomously planning, executing, and verifying features.
In our instructor-led live training sessions, participants investigate the delegation of complex development tasks to multiple AI agents. Learners acquire the skills to orchestrate workflows across the editor, terminal, and browser, maintaining control through high-fidelity artifacts rather than opaque logs.
Delivered via an interactive remote desktop, our online live training immerses developers in the Antigravity environment. This allows for real-time collaboration with agents and the review of generated "Artifacts," including task lists, implementation plans, and browser recordings.
For onsite live training in Prague, available at your facilities or NobleProg corporate centers, teams gain the opportunity to experiment with mission-control style multi-agent coordination. Sessions focus on fine-tuning feedback loops and architecting autonomous development pipelines.
Also recognized as Google’s Agent-First Coding Platform or the Antigravity IDE, this course track enables developers to shift their role from line-by-line coders to strategic orchestrators. This involves supervising intelligent agents that independently build, test, and iterate on code.
From Prague Main Train Station (Praha hlavní nádraží)
Take tram 9 from Hlavní nádraží toward Sídliště Řepy.
Get off at Újezd.
Walk about 10 minutes toward Malostranské náměstí / Prokopská.
Continue along Prokopská to 296/8.
Alternative: Take the metro C from Hlavní nádraží → Muzeum, change to metro A → Malostranská, then walk across Malá Strana. This involves more walking.
From Prague Bus Station — Florenc
Take metro B from Florenc toward Zličín.
Get off at Můstek.
Change to metro A toward Nemocnice Motol.
Get off at Malostranská.
Walk approximately 10–15 minutes to Prokopská 296/8.
This instructor-led training in Prague focuses on building autonomous agents using Gemini 3 and Antigravity. Participants will learn to design reasoning workflows, integrate enterprise systems, and optimize agent safety. It is ideal for advanced professionals seeking practical AI development skills.
Discover Google Antigravity, an agent-first IDE that refines workflows via intelligent automation. This beginner-focused training in Prague leads you through tool installation, interface navigation, and agent-based task automation. Acquire practical expertise to manage projects and produce code with greater efficiency.
This live training in Prague equips intermediate professionals with the skills to construct, automate, and validate browser-based workflows using Google Antigravity. Learners will design agents for web interactions, oversee cross-surface automation, and diagnose complex UI-driven behaviors.
This instructor-led course in Prague enables intermediate to advanced professionals to verify and protect agent-driven code within Antigravity. You will gain the skills to evaluate code precision, track agent activities, and implement quality assurance principles to ensure effective, reliable, and secure agent workflows.
This advanced, instructor-led training in Prague focuses on the design of long-lived agents featuring persistent memory and robust feedback loops. Participants will master the construction of memory structures, the shaping of behavior through reinforcement techniques, and the optimization of multi-agent ecosystems for sustained operational performance.
This live, instructor-led course in Prague focuses on the design and administration of multi-agent workflows in Google Antigravity. Attendees will learn to orchestrate agent activities, decode generated artifacts, and optimize collaborative efforts, thereby acquiring practical competencies for transparent and auditable AI-driven development pipelines.
This instructor-led training in Prague focuses on the Antigravity platform for engineering AI-driven, agent-first applications. You will learn to design coordinated agent workflows utilizing the IDE, Agent Manager, and terminal. This course is perfect for developers integrating autonomous agents into production-grade systems.
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