Master LLMs, agentic AI, and production ML systems
A comprehensive program covering the full AI/ML lifecycle from fundamentals to production deployment. Emphasis on large language models, agentic AI frameworks, and real-world enterprise applications.
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NumPy, Pandas, linear algebra, probability, and statistics refresher needed for ML practice.
Supervised and unsupervised learning — regression, classification, clustering, and model evaluation.
From perceptrons to modern architectures — CNNs, RNNs, Transformers, and training at scale.
Applied NLP pipelines and vision models on real-world datasets with HuggingFace and OpenCV.
From notebook to production — packaging, monitoring, and CI/CD for ML systems.
CyberNexus Certified AI Engineer (CCAE)
Next batch starting soon. Limited seats available.
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