- Basics of Deep Learning techniques
- Understanding artificial neural networks
- Training a neural network using the training data
- Convolutional neural networks and its applications
- TensorFlow and Tensor processing units
- Supervised and unsupervised learning methods
- Machine Learning using Python
- Applications of Deep Learning in image recognition, NLP, etc.
- Real-world projects in recommender systems, etc.
- Big Data Engineer
- Business Intelligence Developer
- Data Scientist
- Machine Learning Engineer
- Research Scientist
- AI Data Analyst
- Product Manager
- AI Engineer
- Robotics Scientist