Data Scientist
AI and Deep Learning
Overview
Master AI and deep learning techniques to build, train, and deploy powerful neural networks for cutting-edge applications. Learn AI-driven development, from CNNs to GANs, using top frameworks like TensorFlow and PyTorch.
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45 Hours of Learning
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0.5K+ Learners
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55,000+ GST
Skills You Will Learn
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TensorFlow coding
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PyTorch coding
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Model optimization
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Feature engineering
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Sequence analysis
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Language modeling
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Generative modeling
Course Key Highlights
- Learn deep learning from fundamentals to advanced
- Build AI models using TensorFlow and PyTorch
- Train and fine-tune convolutional neural networks
- Apply RNNs for sequence-based predictions
- Implement transformers for NLP and speech
- Develop creative AI with GANs
- Practice training on cloud GPU platforms
Course Time
Includes:
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Self-paced
Modules -
Practical assignments
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Assessments
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45 Hours of Learning
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- Apply transformers for NLP and speech tasks
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- Apply topic modeling with LDA and NMF
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- Fine-tune pre-trained models with transfer learning
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FAQs
What prior knowledge is required for this course?
A basic understanding of programming and machine learning concepts is recommended before starting.
Which frameworks will I work with?
You will use TensorFlow and PyTorch for building deep learning models.
Does this course cover both CNNs and RNNs?
Yes, you will train and optimize convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
Will I learn to work with transformers?
Yes, you will apply transformer models for NLP and speech recognition tasks.
Is cloud-based GPU training included?
Yes, you will practice training deep learning models on cloud-based GPU platforms.
