About this certification
The "Building Reliable AI Agents: Core Principles and Practical Engineering (Video Course)" certification equips you with essential skills to design AI agents that perform consistently in demanding production environments. By mastering proven workflows and robust validation techniques, you'll gain a competitive advantage, boost productivity, and secure your expertise for the future of AI-driven business. Enroll today to unlock practical knowledge that translates directly into improved decision-making and career growth.
This certification covers the following topics:
- Separating Signal from Noise in AI Agent Development
- Smart Development Approaches for AI Agents
- Distinguishing AI Assistants from Backend Automation
- Context Engineering for Effective AI Agents
- Designing AI Agents as Workflows (DAG Mentality)
- The Seven Foundational Building Blocks of Reliable AI Agents
- Implementing the Intelligence Layer
- Integrating Memory for Context Retention
- Tools for External System Integration
- Robust Validation Mechanisms
- Control through Deterministic Decision-Making and Process Flow
- Recovery Strategies and Human Feedback Integration
- Step-by-Step Workflows for Building Reliable Agents
- Common Pitfalls and How to Avoid Them
- Best Practices for Reliable AI Agent Engineering
