AI & Generative AI Foundations
- The Journey and Evolution of AI
- Generative AI Literacy
- Large Language Model Fundamentals
- Prompt Engineering
- LLM Application Foundations
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Future Skills Program
Agentic AI for Test Engineers
Learn how to design, build, evaluate, and deploy AI agents, testing, automation and enterprise workflows.
PROGRAM FOCUS
Building reliable AI agents with LLMs, tools, retrieval, workflows, memory, multi-agent systems, and production guardrails.
Foundation
AI journey, GenAI literacy, LLMs and prompting
Agents
Agent patterns, ReAct, workflows and LangGraph
Knowledge
RAG, memory, context engineering and tool use
Production
Evaluation, guardrails, MCP, A2A and deployment
Program Syllabus
Technologies covered in the program
The detailed learning roadmap, Real-world use cases, delivery model, and implementation guidance will be explained during a personalized 1-to-1 call with our Career Expert.
Retrieval, Memory & Context
- Retrieval-Augmented Generation Architecture
- Document Ingestion and Chunking Strategies
- Embeddings and Vector Search
- Retrieval, Re-ranking and Grounded Generation
- Agent Memory and Context Engineering
AI Agents & Agentic Patterns
- AI Agent Fundamentals
- Common Agentic Design Patterns
- Tool Calling and Structured Outputs
- ReAct Agent Pattern
- Workflow-Based Agents
Agent Frameworks & Orchestration
- LangGraph
- Stateful Agent Workflows
- Multi-Agent Systems
- Agent Routing and Coordination
- Human-in-the-Loop Workflows
Protocols & Interoperability
- Model Context Protocol (MCP)
- Agent-to-Agent (A2A) Protocol
- Tool and Resource Integration
- External System Connectivity
- Testing Tool Integration Concepts
Safety, Evaluation & Production
- AI Agent Evaluation
- Guardrails and Safety Controls
- Observability and Traceability
- Production Architecture
- Deployment and Scaling
Practical Projects
Build AI agents through progressive implementation projects
Build production-ready AI agents designed specifically for test engineering, diagnostics, validation, testing, and enterprise automation.
Agent Foundations
- Create Your First AI Agent
- LLM Application Foundations
- Tool Calling and the ReAct Loop
Context & Knowledge
- Model Context Protocol (MCP)
- Memory and Context Management
- Retrieval-Augmented Generation (RAG) Agent
Agent Orchestration
- AI Agent Using LangGraph
- Workflow-Based AI Agent
- Multi-Agent Systems
Production Readiness
- Agent Evaluation Framework
- Guardrails and Safety Controls
- Production Deployment
Testing AI Agent Portfolio Projects
- Requirement-to-Test Case Generation AI Agent
- Test Case Execution AI Agent
- Log Analysis AI Agent
- Many More AI Agents for the Testing Industry
Need the complete learning roadmap?
Book Your 1-to-1 Call
Book a 1-to-1 call with our Career Expert.
We will understand your background and explain the detailed syllabus, projects, and complete course journey.
Career Exploration Call
Book a 1-to-1 call with our Career Expert
Filling out this form will help our Career Expert understand you better before connecting with you.
01
Understand your current and technical experience.
02
Explore the detailed Agentic AI for Test Engineering syllabus.
03
Discuss the most suitable AI learning and implementation direction.