Loading…
Loading…
Loading…
Loading…
Work safely in enterprise repositories and review automation changes.
This course includes 32 hands-on labs — practice in real environments.
Haithem Mihoubi
Instructor
Free course
Enroll instantly — all lessons included
This course includes:
Work safely in enterprise repositories and review automation changes. 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 4 walkthrough: Git and GitHub for collaborative delivery
-67%FeaturedGo 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 4: Git and Collaborative Delivery
Free course
Git
Repository
Commit
Branch
Merge
Versioning
Cherry Pick
Rebase
Conflict Resolution
Reflog and Recovery
GitHub
GitLab
Bitbucket
Pull Requests
Code Review
Protected Branches
No reviews yet. Be the first to review!
Enroll in this course to join the discussion.
No comments yet. Start the discussion!
-67%FeaturedGo from first principles to running production NLP systems: tokenization, embeddings, transformers, fine-tuning, RAG, prompt engineering, alignment, evaluation, safety, and enterprise-grade serving.
-67%FeaturedGo 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.
FeaturedA 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.