Artificial Intelligence and Big Data Course
What will I learn?
You will gain a solid foundation in AI history, Big Data concepts, and the ethical dimensions that shape responsible AI development. You will learn to collect, store, and preprocess large-scale datasets, then apply supervised and unsupervised machine learning (ML) algorithms to solve structured data problems. The course covers deep learning architectures including CNNs, RNNs, and Transformers, as well as distributed processing frameworks like Apache Spark. You will also learn to deploy and monitor models using MLOps best practices, and explore advanced topics such as generative AI, reinforcement learning, and NLP applications. Finally, you will develop the strategic and communication skills needed to lead AI initiatives within any organization.
Elevify advantages
Develop skills
- Big Data Pipeline Design: Build and monitor scalable end-to-end data ingestion pipelines.
- ML Model Deployment: Package, serve, and track machine learning models in production environments.
- Deep Learning Architecture: Design and train neural networks for image, text, and sequential data.
- AI Strategy and Ethics: Align AI initiatives with business goals and responsible governance standards.
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Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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