Overview
In this 15-hour course, you will master the essential skills of AI engineering, covering machine learning, deep learning, NLP, and MLOps. Through hands-on exercises and real-world projects, you'll learn to build, optimize, and deploy scalable AI systems using frameworks like TensorFlow, PyTorch, and AutoGPT.
What I will be able to do after this course- Build and optimize machine learning models with hyperparameter tuning
- Develop CNN and RNN architectures for image and sequence tasks
- Apply transformers for NLP tasks like translation and summarization
- Implement transfer learning and fine-tuning for custom AI solutions
- Create and deploy AI agents using frameworks like AutoGPT and LangGraph
Vivian Aranha is a technology professional with nearly two decades of experience in AI. He specializes in machine learning, deep learning, and intelligent systems, mentoring aspiring AI engineers and bridging complex concepts with practical applications.
Who is it for?This course is designed for aspiring AI engineers, data scientists, software developers, and machine learning practitioners. Learners should have basic Python programming knowledge and familiarity with ML concepts and frameworks like TensorFlow or PyTorch.
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