100% OFF- (NEW) NVIDIA-Certified Professional Agentic AI (NCP-AAI)

This course provides a clear, certification driven introduction to agentic AI, focusing on how autonomous AI agents are designed, reason, and operate within modern AI systems. It is aligned with the NVIDIA Certified Professional Agentic AI framework and emphasizes conceptual understanding rather than hands on implementation.

You will explore the core building blocks of agentic AI, including agents, autonomy, planning, memory, tool use, and multi agent interaction. The course also covers evaluation, safety, alignment, and governance considerations that shape responsible deployment of agentic systems at scale.

Designed for learners preparing for the NVIDIA certification or seeking a strong conceptual foundation, this course helps you think critically about agentic AI architectures, tradeoffs, and real world use cases. By the end of the course, you will be well equipped to interpret agentic AI system designs, discuss them with confidence, and approach the certification exam with clarity.

Topics Covered in the Course

• Agent Design and Cognition: Architect agents, apply reasoning and planning, manage memory, and coordinate multi-agent workflows.
• Knowledge Integration and Agent Development: Implement retrieval pipelines, handle data, engineer prompts, and build multimodal, reliable agents.
• NVIDIA Platform Implementation and Deployment: Use NVIDIA tools to optimize inference, deploy at scale, and manage production workflows.
• Evaluation, Monitoring, and Maintenance: Benchmark and tune performance, monitor live systems, troubleshoot issues, and ensure continuous improvement.
• Human, Ethical, and Compliance Considerations: Design human-in-the-loop systems, enforce safety and compliance guardrails, and uphold responsible AI practices.

Candidate Audiences

• Software developers
• Software engineers
• Solutions architects
• Machine learning engineers
• Data scientists
• AI strategists
• AI specialists