Professional AI Application Workshop: Guided Agentic Systems Deployment
Build and deploy agent-driven AI systems that operate inside real enterprise environments. This 6-week professional workshop is designed for IT and ITES professionals who want to move beyond models and concepts into real-world AI applications, workflow orchestration, and system deployment.
Duration
6 Weeks
Format
Live Weekend
Audience
IT & ITES (1-10 yrs)
Pricing
₹44,500*
LIVE COHORT STARTS
Next Week
Program Snapshot
Implementation First
Build and deploy agent-driven AI systems, not just models or demos. Focused on production readiness.
Agentic Systems Focus
Design and orchestrate multi-agent workflows for real enterprise use-cases and constraints.
Enterprise Integration
Apply AI within existing enterprise platforms, APIs, and security constraints seamlessly.
Guided Execution
Instructor-led sessions with structured implementation between classes for continuous progress.
Governance & Monitoring
Embed performance tracking, controls, and audit readiness by design in every AI agent.
Production Outcome
Deliver a working, enterprise-grade, agentic system with a significant business impact.
Who Should Join
This workshop is ideal for professionals working in:
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Software development and backend engineering
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IT development and enterprise systems
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Data and analytics teams
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AI and ML engineering teams
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Product and solution engineering roles
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Consulting roles supporting enterprise tech initiatives
Note: An AI background is not required. Familiarity with Python is helpful.
500+
ALUMNI
50+
PARTNERS
Where our learners work
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Guided Agentic Systems Deployment
The Professional AI Application Workshop is a focused, hands-on program built to help working professionals design, integrate, and deploy agentic AI systems within enterprise settings.
The workshop bridges the gap between theoretical AI understanding and real-world execution by emphasizing system-level thinking, workflow orchestration, governance, and business impact. Participants progressively build a production-ready agentic system through guided sessions, structured implementation exercises, and expert feedback.
This program prioritizes implementation over certification and practical deployment over theoretical depth.
Why This Program?
Many AI programs fall into one of two categories:
- Concept-driven programs that explain AI but do not teach implementation
- Tool-focused programs that teach isolated techniques without an enterprise context
IT and ITES professionals need skills that help them:
- Design AI systems that operate within enterprise constraints
- Orchestrate agent-driven workflows across business processes
- Integrate AI solutions with existing enterprise platforms
- Apply governance, monitoring, and control mechanisms
- Demonstrate measurable business impact from AI deployments
Zero Zeta Advantage
Zero Zeta brings an enterprise-first approach to professional AI skilling.
- Guided instruction focused on real implementation challenges
- Exposure to enterprise workflows and system integration patterns
- Learning designed around execution instead of theory only
- A structured path from foundation to production deployment
Why This Program?
Zero Zeta brings an enterprise-first approach to professional AI skilling that goes beyond typical tutorials.
Typical AI Programs
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Focus heavily on theory and mathematical foundations of models.
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Generic exercises that don't reflect enterprise constraints.
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Self-paced with minimal direct expert feedback on implementation.
Zero Zeta Workshop
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Engineering-first approach: building agentic systems for real-world impact.
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Tool-agnostic: focus on orchestration, governance, and system patterns.
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Guided live sessions with rigorous peer and instructor code reviews.
Program Structure Overview
A comprehensive 6-week journey designed for professionals to master industry-leading skills through practical, live engagement.
Learning Model
Instructor-led live sessions
Engage directly with industry leaders through high-impact, real-time interactive lectures and discussions.
Hands-on implementation exercises
Go beyond theory with practical labs and real-world scenarios that reinforce core concepts immediately.
Guided support between sessions
Dedicated mentorship channels and peer support to ensure you never get stuck during your learning journey.
Progressive system building
Construct a comprehensive capstone project piece-by-piece as you advance through each week of the program.
Detailed Week-Wise Structure
- Enterprise AI versus consumer AI
- Agentic system architecture in business contexts
- Identifying enterprise readiness and use cases
- Planning agent-driven opportunities
- Designing specialized agents for business functions
- Agent communication and coordination
- Orchestration patterns for multi-agent systems
- Implementing a basic agent ecosystem
- API integration with enterprise platforms
- Security and access considerations
- Data handling and compliance
- Error handling and resilience patterns
- Automating complex business processes
- Model-driven decision systems
- Human oversight and escalation logic
- Building an automated workflow prototype
- Performance metrics for agentic systems
- Cost and efficiency optimization
- Monitoring dashboards and observability
- Governance and audit frameworks
- Production deployment strategies
- Scaling and change management
- Final implementation review
- Expert feedback and ROI assessment
Technology Toolkit
Master the categories of tools rather than specific proprietary vendors.
| Layer | Categories | Application |
|---|---|---|
| Data Layer | Data connectors, ETL tools, vector databases | Enterprise Integration |
| Model Layer | Foundation models, training frameworks | Decision systems |
| Orchestration | Workflow engines, multi-agent coordination | Complex automations |
| Monitoring | Observability, logging, performance tracking | Trust and safety |
Agentic Dimension: Practical Implementation
- Incremental building of agent components each week
- Focus on enterprise-specific agents for automation and decision support
- Real-world system integration
- Governance and control mechanisms embedded by design
- Frameworks for measuring business value and ROI
Final Implementation Output
Each participant delivers a complete enterprise-grade agentic system, including:
- A multi-agent solution addressing a real business problem
- Integration and security documentation
- Monitoring and governance framework
- Performance metrics and optimization roadmap
- Business case with ROI projections
- Deployment guide for enterprise rollout
Credibility & Excellence
Academic Rigor • Industry Relevance • Trusted Credential
Gaurav Gupta
Lead Mentor — AI Agents, Data Visualization & AnalyticsGaurav is a practitioner-mentor focused on applying Python, data visualization, and AI agents to solve practical analytics problems. His teaching blends hands-on demos, structured walkthroughs, and real datasets—so learners build skills they can use from day one.
Certificate of Completion
Participants who complete the workshop and take the NASSCOM evaluation receive a Certificate of Completion.
Ready to Upskill?
Join our next cohort and transition from concepts to building production-ready AI agentic systems.