Agent Workflows with Antigravity Training in New Delhi

Agent Workflows with Antigravity Training in New Delhi, India

Introduces participants to designing, managing, and optimizing AI agent workflows using the Antigravity approach—a metaphor for low-friction, self-organizing, and scalable agent systems.

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Agent Workflows with Antigravity Training is a professional training program delivered by ProgNXT in New Delhi, India. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Agent Workflows with Antigravity Training course with hands-on, instructor-led sessions. Agent Workflows with Antigravity Training introduces participants to designing, managing, and optimizing AI agent workflows using the Antigravity...

Expert Panel

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: MQM30
7 Hrs
Last Updated: April 2026

Course Rating5/5

Agent Workflows with Antigravity Training introduces participants to designing, managing, and optimizing AI agent workflows using the Antigravity approach—a metaphor for low-friction, self-organizing, and scalable agent systems.

This training focuses on agent orchestration, task delegation, coordination patterns, monitoring, and reliability, enabling teams to build intelligent, autonomous workflows for business operations, automation, analytics, and AI-powered applications.

Welcome to the official Agent Workflows with Antigravity Training certification program in New Delhi, India. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 7 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic understanding of AI agents or automation concepts
Familiarity with Python or workflow tools is helpful
Knowledge of APIs, microservices, or AI platforms is an advantage
No advanced AI or ML background required

By the end of this training, participants will be able to:

Design scalable AI agent workflows
Orchestrate single-agent and multi-agent systems
Implement task routing, coordination, and decision logic
Reduce workflow friction using Antigravity principles
Monitor, optimize, and govern agent behavior
Apply agent workflows to real business and technical use cases

AI agent workflow design
Agent orchestration patterns
Task decomposition and delegation
Event-driven and goal-driven agents
Error handling and recovery strategies
Workflow observability and governance
Ethical and secure agent operations

Workflow architecture quality
Agent coordination effectiveness
Error handling and resilience
Observability and governance design
Practical application of Antigravity principles

Participants who attend all sessions and successfully complete the course assessments will receive a ProgNXT Certificate of Completion.

Introduction to Agent Workflows

What are AI agents?
Agent workflows vs traditional automation
Single-agent vs multi-agent systems
Why workflows fail and how Antigravity help

Antigravity Principles for Agent Systems

Removing friction from agent execution
Autonomy vs control
Stateless vs stateful agents
Designing for adaptability and resilience

Agent Architecture Fundamentals

Agent components and responsibilities
Memory, tools, and action layers
Goal-driven and task-driven agents
Human-in-the-loop designs

Workflow Design Patterns

Sequential, parallel, and conditional workflows
Event-driven agent pipelines
Feedback loops and self-correction
Agent collaboration pattern

Multi-Agent Coordination

Role-based agent systems
Task handoff and negotiation
Conflict resolution strategies
Coordination at scale

Tool & API Integration

Connecting agents to tools and services
Data sources, APIs, and plugins
Secure credential handling
External system orchestration

State, Memory & Context Management

Short-term vs long-term memory
Context persistence strategies
Knowledge sharing between agents
Avoiding context overload

Reliability & Error Handling

Failure modes in agent workflows
Retry, fallback, and escalation patterns
Monitoring agent decisions
Recovery and rollback strategies

Observability & Optimization

Logging agent actions
Performance and cost tracking
Workflow bottleneck analysis
Continuous optimization loops

Security, Governance & Ethics

Controlling agent permissions
Audit trails and compliance
Preventing unintended actions
Ethical use of autonomous agents

Hands-on Exercises

Summary and Conclusion

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

Participants will be evaluated based on: Daily quizzes, mock questions and query resolution. Group Discussion and Case Study Discussion. Assessment will be through hands-on labs, quizzes, and hands-on exercises.

ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

Agent Workflows with Antigravity Training Events in new-delhi

Online Events

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More Upcoming Session Dates

November 2026

🌐 Online Instructor-Led

1st Nov 2026→1st Nov 2026

📍 New Delhi, India

4th Nov 2026→4th Nov 2026

📍 New Delhi, India

21st Nov 2026→21st Nov 2026

🌐 Online Instructor-Led

21st Nov 2026→21st Nov 2026

December 2026

📍 New Delhi, India

1st Dec 2026→1st Dec 2026

🌐 Online Instructor-Led

10th Dec 2026→10th Dec 2026

🌐 Online Instructor-Led

22nd Dec 2026→22nd Dec 2026

📍 New Delhi, India

26th Dec 2026→26th Dec 2026

Events for other courses in New Delhi, India

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Agent Workflows with Antigravity Training in New Delhi