| Category | AI Agent Developer, AI Professional, AI Specialization, All Courses, Available Now, English, Language |
|---|---|
| Program Name | AI+ Agent™ |
| Duration | Instructor-Led:1 day (live or virtual) | Self-Paced:8 hours (1 Day) |
| Prerequisites | Basic Understanding of AI Concepts – Familiarity with core AI principles. Programming Knowledge – Proficiency in Python or similar languages. Data Analysis Skills – Ability to interpret and manipulate datasets. Problem-Solving Mindset – Analytical thinking to address AI challenges. Familiarity with Machine Learning – Understanding basic ML algorithms and techniques. |
| Exam Format | 50 questions, 70% passing, 90 minutes, online proctored exam |
Understand AI agent fundamentals, architectures, and real-world use cases across different industries and workflows.
Design and build task-oriented and conversational agents using modern frameworks, tools, and APIs.
Orchestrate multi-agent systems that collaborate, share context, and handle complex, end-to-end workflows.
Implement monitoring, evaluation, and optimization strategies to improve agent performance, reliability, and user experience.
Apply best practices for secure, ethical, and human-in-the-loop deployment of AI agents in production environments.
Design and implement end-to-end AI agent ecosystems that automate complex workflows and integrate seamlessly with enterprise systems.
Create intelligent customer-facing agents that handle inquiries, personalize interactions, and enhance user experiences across digital channels.
Oversee deployment, monitoring, and optimization of AI agents to ensure reliability, scalability, and continuous improvement in automated processes.
Define strategy, roadmap, and performance metrics for agent-based products and platforms that drive business value and innovation.
Lead organization-wide adoption of AI agents, aligning technology, teams, and processes to enable scalable, autonomous operations.
Yes, this certification is highly practical, focusing on building and deploying AI agents for real workflows. You’ll be able to apply agent-based automation directly to business
processes, customer journeys, and internal operations.
This certification focuses specifically on intelligent agent design, orchestration, and deployment—going beyond theory to show how agents can act, decide, and collaborate across tools, apps, and systems in real business environments.
You’ll build task-oriented and conversational agents, multi-agent workflows, tool-using agents, and process-automation solutions—mirroring real organizational use cases like support automation, internal copilots, and workflow agents.
The course combines expert-led lessons, guided labs, and project-based learning where you design, configure, and deploy agents end-to-end, ensuring you gain hands-on, implementation-ready skills—not just conceptual knowledge.
It equips you with in-demand skills in agent building, orchestration, and automation, along with a portfolio of agent projects that align with emerging roles in AI engineering, automation, and intelligent systems design.
70%
50 multiple-choice/multiple-response questions
