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Turn engineering evidence into interviews, offers, and a sustainable growth plan.
Dieser Kurs enthält 32 praktische Labs — üben Sie in echten Umgebungen.
Haithem Mihoubi
Dozent
Kostenloser Kurs
Sofort einschreiben — alle Lektionen inklusive
Dieser Kurs beinhaltet:
Turn engineering evidence into interviews, offers, and a sustainable growth plan. This production-oriented phase combines written instruction, visual models, interactive decisions, and practical work on the shared QA Practice Hub application from manual testing through automation and SDET practices.
Phase 23 walkthrough: QA career, interviews, and certification prep
-67%EmpfohlenGo from the agentic loop to governed, production multi-agent systems: tool use, planning, memory, MCP, agentic RAG, multi-agent orchestration, safety, sandboxing, observability, and enterprise deployment.
Phase 23: Career and Certification Preparation
Kostenloser Kurs
QA Resume
LinkedIn Profile
GitHub Profile
Portfolio
Career Roadmap
Interview Questions
Mock Interviews
Coding Challenges
QA Challenges
Automation Challenges
Real Company Scenarios
ISTQB Preparation
SDET Interview Preparation
HR Interview Preparation
Salary Negotiation
First 90 Days
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-67%EmpfohlenGo from first principles to running production NLP systems: tokenization, embeddings, transformers, fine-tuning, RAG, prompt engineering, alignment, evaluation, safety, and enterprise-grade serving.
-67%EmpfohlenGo from first principles to running a production ML platform: data versioning, feature stores, CI/CD/CT, Kubernetes serving, monitoring, drift detection, security, cost, LLMOps, and incident response.
EmpfohlenA 180-hour beginner-to-expert AI engineering program covering software, data, ML, deep learning, vision, NLP, LLMs, RAG, agents, MCP, MLOps, cloud, security, architecture, and AI SaaS.