The Agentic AI Directory: Top Certifications for Software Engineers
Curated learning tracks for navigating the shift from syntax-driven coding to agent-driven orchestration.
Software engineering is undergoing a foundational paradigm shift. We are witnessing an increasing momentum towards the use of AI models as the primary artifacts for developing software systems. As coding becomes heavily augmented by AI, the highest-value developers are transitioning into “Agentic AI Developers”—professionals who build, orchestrate, and govern autonomous AI agents capable of reasoning, planning, and executing complex workflows.
Whether you’re looking to certify your expertise with Microsoft’s new GH-600 exam or dive into Google’s latest Agent Development Kit (ADK), here is the authoritative directory of learning opportunities to future-proof your engineering career.
Directory Overview
| Ecosystem | Certification / Track | Core Focus | Level | Action |
|---|---|---|---|---|
| GitHub | GitHub Certified: Agentic AI Developer (GH-600) | Integrating agents into the SDLC, orchestrating multi-agent environments, guardrails, and evaluating agent tasks. | Intermediate | View Exam |
| Google Cloud | ADK & Antigravity 2.0 Track | Graph Workflows, Multi-Agent Coordination, API integration, and leveraging Gemini 3.5 Flash in enterprise apps. | Advanced | Start Codelab |
| AWS | Generative AI Developer (AIP-C01) | LLM integrations, prompt pipelines, RAG systems, and production-ready AI pipelines on AWS architecture. | Professional | View Track |
| Databricks | GenAI Engineer Associate | Data-driven generative AI, deploying LLMs securely, and managing RAG stacks on Data Intelligence Platforms. | Associate | View Track |
Deep Dive: The Agentic Core
GitHub Agentic AI Developer
This brand-new, role-based beta exam focuses on how developers and teams operate, supervise, and integrate AI agents safely into production-grade Software Development Life Cycles (SDLC).
- Architecture: Define boundaries between planning, reasoning, and action.
- Execution: Manage memory, state, and implement multi-agent coordination.
- Governance: Implement guardrails, rollback systems, and human-in-the-loop accountability.
Google ADK & Antigravity
Announced at Google I/O, the Agent Development Kit (ADK) and Antigravity 2.0 desktop environment provide an open-source framework for building dynamic, model-led agent workflows.
- Graph Workflows: Weave deterministic code with adaptive AI reasoning logic.
- Multi-Language: Natively supports Python, TypeScript, Go, Java, and Kotlin.
- Evaluation: Leverage synthetic user simulation and trace logging to auto-generate testing scenarios.
Curated for tengri.dev — Helping engineers navigate the autonomous future.