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Turn engineering evidence into interviews, offers, and a sustainable growth plan.
Ce cours comprend 32 labs pratiques — entraînez-vous dans de vrais environnements.
Haithem Mihoubi
Formateur
Cours gratuit
Inscription instantanée — toutes les leçons incluses
Ce cours inclut :
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%En vedetteGo 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
Cours gratuit
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%En vedetteGo from first principles to running production NLP systems: tokenization, embeddings, transformers, fine-tuning, RAG, prompt engineering, alignment, evaluation, safety, and enterprise-grade serving.
-67%En vedetteGo 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.
En vedetteA 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.