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Every OpenSprig training in one place. The RHCSA batch is free and open now — for anything else, request a batch and we will let you know when it is planned.

Not sure where to start?Describe your goals and experience — our AI Course Finder suggests a learning path.

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AI & Machine Learning

From beginner Generative AI to Agentic AI, Machine Learning Engineering and MLOps — practical, project-based training.

  • Instructor-led live training
  • Hands-on practical labs
  • Real-world industry projects
  • Assignments and technical assessments
  • Quizzes and knowledge checks
  • Capstone projects
  • Career-oriented learning paths

AI & Machine Learning

Generative AI, machine learning, deep learning, AI agents and MLOps — practical and project-based.

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Generative AI & Prompt Engineering

Use ChatGPT, Gemini and Claude effectively and automate everyday work with AI.

  • ChatGPT
  • Gemini
  • Claude
  • Zapier / n8n

40–50 hours Hands-on labs

BeginnerView course
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Python for AI & Machine Learning

Learn Python, NumPy and Pandas, and prepare data for machine learning.

  • Python
  • Jupyter
  • NumPy
  • Pandas
  • Matplotlib
  • Scikit-learn

40–50 hours Hands-on labs

BeginnerView course
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Machine Learning Engineering

Train, evaluate and improve supervised and unsupervised ML models.

  • Python
  • Scikit-learn
  • Pandas
  • XGBoost
  • Jupyter

40–50 hours Hands-on labs

IntermediateView course
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Deep Learning & Neural Networks

Build neural networks for computer vision and NLP with TensorFlow and PyTorch.

  • TensorFlow
  • Keras
  • PyTorch
  • Hugging Face
  • Google Colab

40–50 hours Hands-on labs

AdvancedView course
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Agentic AI & AI Automation

Build AI agents with LangChain, LangGraph, RAG and MCP that use real tools.

  • Python
  • LangChain
  • LangGraph
  • Vector databases
  • MCP
  • OpenAI / Claude APIs

40–50 hours Hands-on labs

AdvancedView course
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MLOps & AI Infrastructure

Deploy, monitor and manage ML models with MLflow, Docker and Kubernetes.

  • MLflow
  • Docker
  • Kubernetes
  • GitHub Actions
  • Prometheus
  • Grafana

40–50 hours Hands-on labs

AdvancedView course
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AI for Business & Professionals

Use AI for productivity, data analysis, reporting and process automation — responsibly.

  • ChatGPT
  • Microsoft Copilot
  • Gemini
  • Excel / Google Sheets
  • Power Automate

40–50 hours Hands-on labs

BeginnerView course

Open Source Technology · Training for Professionals & Students

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