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Certifications

Validate Your Expertise in Agentic AI and Robotic Engineering

Panaversity Certifications

The Panaversity Certified Agentic and Robotic AI Engineer certification is a rigorous, multi-level program designed to validate expertise in modern AI, agentic AI, cloud-native technologies, and physical AI systems. The certification is structured into four progressive levels, each building on the previous one, ensuring a comprehensive skill set from foundational to advanced concepts.

Modern Python Programming

Master advanced Python concepts including type hints, asyncio, and modern libraries like Pydantic v2.

Agentic AI Systems

Build intelligent AI agents using OpenAI Agents SDK and understand multi-agent workflows.

Cloud-Native Technologies

Deploy and manage AI systems using Docker, Kubernetes, and Dapr for scalable solutions.

Physical AI & Robotics

Integrate AI with hardware systems using NVIDIA Isaac ROS, GR00T, and Isaac Sim.

Certification Structure

The certification consists of four levels, each with specific exams tailored to different expertise levels

Level 1 (Beginner)

Focuses on foundational knowledge in Python, agentic AI, and related concepts. Exams are conducted online, on a fixed schedule, and are proctored.

Fundamentals of Modern AI Python Level 1 (Beginner) Quiz

Covered Topics:
  • Core Python programming concepts for AI applications
  • Colabs 01 to 09 from the Panaversity GitHub repository
  • Basic Python syntax, data structures, control flow, and functions
  • Python's role in AI development, including data manipulation

Advanced Modern AI Python Level 1 (Beginner) Quiz

Covered Topics:
  • Advanced Python concepts, including type hints and static typing
  • MyPy for static typing with type hints, unions, and optional types
  • Structural subtyping and protocols for flexible type checking
  • Colabs 12 to 17 from the Panaversity GitHub repository

Fundamentals of Agentic AI Level 1 (Beginner) Quiz

Covered Topics:
  • Introduction to agentic AI and the OpenAI Agents SDK
  • Basic Markdown syntax for documentation
  • Basics of agentic AI, including the concept of agents and tools
  • OpenAI Agents SDK Python-first design and core components

General Preparation Tips

Follow these proven strategies to maximize your success in the certification program

Hands-On Practice

Use the provided GitHub repositories to complete all relevant Colabs and exercises. Practice is key to mastering the concepts.

Study Official Documentation

Review MyPy, OpenAI Agents SDK, and NVIDIA documentation thoroughly. Understanding the official resources is crucial.

Time Management

Practice solving questions under timed conditions to simulate exam environments and improve your speed.

Community Support

Engage with the Panaversity community or contact Zia Khan for scheduling and guidance when needed.

Iterative Learning

Start with Level 1 materials and progressively build skills for higher levels. Master each level before advancing.

Ready to Start Your Journey?

Take the first step towards becoming a certified Agentic and Robotic AI Engineer. Start with Level 1 and progress through our comprehensive certification program.

Contact and Scheduling

Get information about exam scheduling and certification requirements

Stay Connected

For the most current information on exam availability, updates, and additional resources, reach out to our team directly. We're continuously updating our materials to ensure you have access to the latest information for your certification journey.

Comprehensive Materials

Access learning resources, exercises, and documentation for all certification levels

Community Support

Connect with instructors and fellow learners for collaborative learning

Ready to take the next step?

Reach out to our team or explore our comprehensive learning pathways designed for your success.