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  <title>MLOps MENA Community</title>
  <subtitle>Free MLOps and AI learning for engineers across the Middle East and North Africa.</subtitle>
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  <updated>2026-10-08T00:00:00Z</updated>
  <entry>
    <title>AutoGen</title>
    <link href="https://mlopsmena.com/ar/student-guides/autogen/"/>
    <id>tag:mlopsmena.com,2026:guide:autogen</id>
    <updated>2026-10-08T00:00:00Z</updated>
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    <summary>Build multi-agent conversations and event-driven agent systems with Microsoft AutoGen. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Claude Agent SDK</title>
    <link href="https://mlopsmena.com/ar/student-guides/claude-agent-sdk/"/>
    <id>tag:mlopsmena.com,2026:guide:claude-agent-sdk</id>
    <updated>2026-10-08T00:00:00Z</updated>
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    <summary>Build autonomous agents on the same harness that powers Claude Code: tools, permissions, subagents and MCP. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>CrewAI</title>
    <link href="https://mlopsmena.com/ar/student-guides/crewai/"/>
    <id>tag:mlopsmena.com,2026:guide:crewai</id>
    <updated>2026-10-08T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Orchestrate role-based teams of AI agents that plan, delegate and collaborate on tasks. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>DSPy</title>
    <link href="https://mlopsmena.com/ar/student-guides/dspy/"/>
    <id>tag:mlopsmena.com,2026:guide:dspy</id>
    <updated>2026-10-08T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Program LLMs instead of prompting them, and let optimisers tune prompts and weights for you. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Feast</title>
    <link href="https://mlopsmena.com/ar/student-guides/feast/"/>
    <id>tag:mlopsmena.com,2026:guide:feast</id>
    <updated>2026-10-08T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Serve consistent features for training and inference with the Feast feature store. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Google ADK</title>
    <link href="https://mlopsmena.com/ar/student-guides/google-adk/"/>
    <id>tag:mlopsmena.com,2026:guide:google-adk</id>
    <updated>2026-10-08T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Build, evaluate and deploy multi-agent systems with Google’s Agent Development Kit. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>OpenAI Agents SDK</title>
    <link href="https://mlopsmena.com/ar/student-guides/openai-agents-sdk/"/>
    <id>tag:mlopsmena.com,2026:guide:openai-agents-sdk</id>
    <updated>2026-10-08T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Build agents with tools, handoffs, guardrails and tracing on OpenAI’s lightweight agent SDK. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Semantic Kernel</title>
    <link href="https://mlopsmena.com/ar/student-guides/semantic-kernel/"/>
    <id>tag:mlopsmena.com,2026:guide:semantic-kernel</id>
    <updated>2026-10-08T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Integrate LLMs, plugins and agents into C#, Python and Java applications with Microsoft Semantic Kernel. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>BentoML</title>
    <link href="https://mlopsmena.com/ar/student-guides/bentoml/"/>
    <id>tag:mlopsmena.com,2026:guide:bentoml</id>
    <updated>2026-10-04T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Package and serve models as production APIs with BentoML. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Delta Lake</title>
    <link href="https://mlopsmena.com/ar/student-guides/delta-lake/"/>
    <id>tag:mlopsmena.com,2026:guide:delta-lake</id>
    <updated>2026-10-04T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Add ACID transactions, time travel and schema enforcement to data lakes with Delta Lake. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Seldon Core</title>
    <link href="https://mlopsmena.com/ar/student-guides/seldon-core/"/>
    <id>tag:mlopsmena.com,2026:guide:seldon-core</id>
    <updated>2026-10-04T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Deploy, scale and monitor models on Kubernetes with Seldon Core. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Azure OpenAI</title>
    <link href="https://mlopsmena.com/ar/student-guides/azure-openai/"/>
    <id>tag:mlopsmena.com,2026:guide:azure-openai</id>
    <updated>2026-10-03T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Run OpenAI models in Azure: deployments, quotas, private networking and enterprise controls. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Haystack</title>
    <link href="https://mlopsmena.com/ar/student-guides/haystack/"/>
    <id>tag:mlopsmena.com,2026:guide:haystack</id>
    <updated>2026-10-03T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Build production RAG and search pipelines from modular, testable components. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>LangChain</title>
    <link href="https://mlopsmena.com/ar/student-guides/langchain/"/>
    <id>tag:mlopsmena.com,2026:guide:langchain</id>
    <updated>2026-10-03T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Build LLM applications from composable models, prompts, retrievers and tools. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>LangGraph</title>
    <link href="https://mlopsmena.com/ar/student-guides/langgraph/"/>
    <id>tag:mlopsmena.com,2026:guide:langgraph</id>
    <updated>2026-10-03T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Build stateful, controllable agents as graphs, with memory, human-in-the-loop and durable execution. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>LlamaIndex</title>
    <link href="https://mlopsmena.com/ar/student-guides/llamaindex/"/>
    <id>tag:mlopsmena.com,2026:guide:llamaindex</id>
    <updated>2026-10-03T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Connect LLMs to your own data: ingestion, indexing, retrieval and agentic RAG. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Model Context Protocol (MCP)</title>
    <link href="https://mlopsmena.com/ar/student-guides/mcp/"/>
    <id>tag:mlopsmena.com,2026:guide:mcp</id>
    <updated>2026-10-03T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Connect LLM applications to tools and data through the open Model Context Protocol: build servers and clients. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Pydantic AI</title>
    <link href="https://mlopsmena.com/ar/student-guides/pydantic-ai/"/>
    <id>tag:mlopsmena.com,2026:guide:pydantic-ai</id>
    <updated>2026-10-03T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Build type-safe agents and structured-output LLM apps in Python with Pydantic AI. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>smolagents</title>
    <link href="https://mlopsmena.com/ar/student-guides/smolagents/"/>
    <id>tag:mlopsmena.com,2026:guide:smolagents</id>
    <updated>2026-10-03T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Build lightweight code-writing agents with Hugging Face smolagents. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Axolotl</title>
    <link href="https://mlopsmena.com/ar/student-guides/axolotl/"/>
    <id>tag:mlopsmena.com,2026:guide:axolotl</id>
    <updated>2026-10-02T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Fine-tune LLMs from a single YAML config with Axolotl: SFT, LoRA, multi-GPU and more. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Chroma</title>
    <link href="https://mlopsmena.com/ar/student-guides/chroma/"/>
    <id>tag:mlopsmena.com,2026:guide:chroma</id>
    <updated>2026-10-02T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Add embeddings search to your app in minutes with the open-source Chroma database. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>DeepSpeed</title>
    <link href="https://mlopsmena.com/ar/student-guides/deepspeed/"/>
    <id>tag:mlopsmena.com,2026:guide:deepspeed</id>
    <updated>2026-10-02T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Train and serve large models across many GPUs with DeepSpeed’s ZeRO and parallelism. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>FAISS</title>
    <link href="https://mlopsmena.com/ar/student-guides/faiss/"/>
    <id>tag:mlopsmena.com,2026:guide:faiss</id>
    <updated>2026-10-02T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Build fast similarity-search indexes in-process with Meta’s FAISS library. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Milvus</title>
    <link href="https://mlopsmena.com/ar/student-guides/milvus/"/>
    <id>tag:mlopsmena.com,2026:guide:milvus</id>
    <updated>2026-10-02T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Run billion-scale vector search with the cloud-native Milvus database. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>PEFT &amp; TRL</title>
    <link href="https://mlopsmena.com/ar/student-guides/peft-trl/"/>
    <id>tag:mlopsmena.com,2026:guide:peft-trl</id>
    <updated>2026-10-02T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Fine-tune LLMs efficiently with LoRA/QLoRA (PEFT) and align them with SFT, DPO and RLHF (TRL). Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>pgvector</title>
    <link href="https://mlopsmena.com/ar/student-guides/pgvector/"/>
    <id>tag:mlopsmena.com,2026:guide:pgvector</id>
    <updated>2026-10-02T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Store and query embeddings inside PostgreSQL with the pgvector extension. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Pinecone</title>
    <link href="https://mlopsmena.com/ar/student-guides/pinecone/"/>
    <id>tag:mlopsmena.com,2026:guide:pinecone</id>
    <updated>2026-10-02T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Store and search embeddings at scale with Pinecone’s managed vector database. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>PyTorch Lightning</title>
    <link href="https://mlopsmena.com/ar/student-guides/pytorch-lightning/"/>
    <id>tag:mlopsmena.com,2026:guide:pytorch-lightning</id>
    <updated>2026-10-02T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Organise PyTorch training code and scale it across GPUs and nodes with Lightning. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Qdrant</title>
    <link href="https://mlopsmena.com/ar/student-guides/qdrant/"/>
    <id>tag:mlopsmena.com,2026:guide:qdrant</id>
    <updated>2026-10-02T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Run fast, filterable vector search with the open-source Qdrant engine. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Ray Serve</title>
    <link href="https://mlopsmena.com/ar/student-guides/ray-serve/"/>
    <id>tag:mlopsmena.com,2026:guide:ray-serve</id>
    <updated>2026-10-02T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Serve models and composed inference pipelines at scale with Ray Serve. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Text Generation Inference</title>
    <link href="https://mlopsmena.com/ar/student-guides/tgi/"/>
    <id>tag:mlopsmena.com,2026:guide:tgi</id>
    <updated>2026-10-02T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Serve open LLMs in production with Hugging Face Text Generation Inference. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Triton Inference Server</title>
    <link href="https://mlopsmena.com/ar/student-guides/triton/"/>
    <id>tag:mlopsmena.com,2026:guide:triton</id>
    <updated>2026-10-02T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Serve models from any framework on GPUs and CPUs with NVIDIA Triton. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Unsloth</title>
    <link href="https://mlopsmena.com/ar/student-guides/unsloth/"/>
    <id>tag:mlopsmena.com,2026:guide:unsloth</id>
    <updated>2026-10-02T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Fine-tune open LLMs faster and with less GPU memory using Unsloth. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>vLLM</title>
    <link href="https://mlopsmena.com/ar/student-guides/vllm/"/>
    <id>tag:mlopsmena.com,2026:guide:vllm</id>
    <updated>2026-10-02T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Serve LLMs with high throughput using vLLM’s PagedAttention and OpenAI-compatible server. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Weaviate</title>
    <link href="https://mlopsmena.com/ar/student-guides/weaviate/"/>
    <id>tag:mlopsmena.com,2026:guide:weaviate</id>
    <updated>2026-10-02T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Run hybrid vector and keyword search with the open-source Weaviate database. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Alibi Detect</title>
    <link href="https://mlopsmena.com/ar/student-guides/alibi-detect/"/>
    <id>tag:mlopsmena.com,2026:guide:alibi-detect</id>
    <updated>2026-10-01T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Detect outliers, adversarial inputs and drift with Alibi Detect. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Ansible</title>
    <link href="https://mlopsmena.com/ar/student-guides/ansible/"/>
    <id>tag:mlopsmena.com,2026:guide:ansible</id>
    <updated>2026-10-01T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Automate server configuration and deployments with Ansible playbooks. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Argo CD</title>
    <link href="https://mlopsmena.com/ar/student-guides/argo-cd/"/>
    <id>tag:mlopsmena.com,2026:guide:argo-cd</id>
    <updated>2026-10-01T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Deploy to Kubernetes the GitOps way with Argo CD. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Arize Phoenix</title>
    <link href="https://mlopsmena.com/ar/student-guides/arize-phoenix/"/>
    <id>tag:mlopsmena.com,2026:guide:arize-phoenix</id>
    <updated>2026-10-01T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Trace and evaluate LLM apps with the open-source Arize Phoenix, built on OpenTelemetry. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Azure Machine Learning</title>
    <link href="https://mlopsmena.com/ar/student-guides/azure-ml/"/>
    <id>tag:mlopsmena.com,2026:guide:azure-ml</id>
    <updated>2026-10-01T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Build, train and deploy models on Azure with Azure Machine Learning. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Comet</title>
    <link href="https://mlopsmena.com/ar/student-guides/comet/"/>
    <id>tag:mlopsmena.com,2026:guide:comet</id>
    <updated>2026-10-01T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Track, compare and register models with Comet’s ML platform. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Dagster</title>
    <link href="https://mlopsmena.com/ar/student-guides/dagster/"/>
    <id>tag:mlopsmena.com,2026:guide:dagster</id>
    <updated>2026-10-01T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Build asset-based data and ML pipelines with Dagster. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Databricks</title>
    <link href="https://mlopsmena.com/ar/student-guides/databricks/"/>
    <id>tag:mlopsmena.com,2026:guide:databricks</id>
    <updated>2026-10-01T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Run data engineering, ML and GenAI on the Databricks lakehouse platform. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>DeepEval</title>
    <link href="https://mlopsmena.com/ar/student-guides/deepeval/"/>
    <id>tag:mlopsmena.com,2026:guide:deepeval</id>
    <updated>2026-10-01T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Unit-test LLM apps with DeepEval’s metrics, test cases and CI integration. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>ELK Stack</title>
    <link href="https://mlopsmena.com/ar/student-guides/elk-stack/"/>
    <id>tag:mlopsmena.com,2026:guide:elk-stack</id>
    <updated>2026-10-01T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Search and analyse logs with Elasticsearch, Logstash and Kibana. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>FastAPI for ML</title>
    <link href="https://mlopsmena.com/ar/student-guides/fastapi/"/>
    <id>tag:mlopsmena.com,2026:guide:fastapi</id>
    <updated>2026-10-01T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Wrap ML models in fast, typed, well-documented APIs with FastAPI. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Flux</title>
    <link href="https://mlopsmena.com/ar/student-guides/flux/"/>
    <id>tag:mlopsmena.com,2026:guide:flux</id>
    <updated>2026-10-01T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Keep Kubernetes clusters in sync with Git using Flux. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>GitLab CI/CD</title>
    <link href="https://mlopsmena.com/ar/student-guides/gitlab-ci/"/>
    <id>tag:mlopsmena.com,2026:guide:gitlab-ci</id>
    <updated>2026-10-01T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Build, test and deploy with GitLab CI/CD pipelines. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Grafana</title>
    <link href="https://mlopsmena.com/ar/student-guides/grafana/"/>
    <id>tag:mlopsmena.com,2026:guide:grafana</id>
    <updated>2026-10-01T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Visualise metrics, logs and traces in Grafana dashboards and alerts. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
  <entry>
    <title>Great Expectations</title>
    <link href="https://mlopsmena.com/ar/student-guides/great-expectations/"/>
    <id>tag:mlopsmena.com,2026:guide:great-expectations</id>
    <updated>2026-10-01T00:00:00Z</updated>
    <category term="guide"/>
    <summary>Validate and document data quality with Great Expectations. Taught at three levels — Beginner, Mid-level and Senior — each with an in-depth guide, interview prep, and practical tips.</summary>
  </entry>
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