Building Intelligent Applications with AI and ML - Level 2
Learn Deep Learning concepts and concepts of NLP with this intermediate AI course.
FormatsVirtual Classroom Live · Classroom LiveTopicsAnalytics And Data Management
What you’ll learn
- Deep Learning Essentials
- Understanding Neural Networks, Artificial Neural Network, Perceptron concepts
- Understanding activation functions and why they are important?
- Understanding Convolutional Neural Networks
- CNN Architectures
- CNN applications
- Understanding Recurrent Neural Networks
- RNN Architectures
- RNN Applications
- Natural Language Processing
- Foundations of NLP
- Various NLP Libraries
- Understand NLP concepts like Morphology, Lemmetization, Stemming, Part-of-Speech tagging
- Understanding Text Analytics
- Performing Text Analytics with a case study
- Natural Language Processing with Deep Learning
- Applications of Deep Learning in NLP
- Deep Learning Libraries for building NLP applications
- Word Embeddings
- Identifying Sentiments in Customer Reviews - case study
- Advanced NLP Models
- Understand and Differentiate between LSTMs, GRUs, GPT Models
- Understand Sequence to Sequence Models
- Understand Attention Models
- Understand Transformer Models
- A Deep Dive into Machine Translation using NLP
- Building a real-world End-End NLP Application
- Data Gathering
- Data Cleaning and Pre-processing
- Building and evaluating NLP Models
- GUI and REST APIs
- Building UI for your Machine Learning Models
- Building a REST API for your Models
Upcoming training
Dates and availability are confirmed by Bolt when we follow up. All times are shown in the provider’s stated time zone.
2026-11-09 — 2026-11-108:30 AM - 4:30 PM EST
Virtual Classroom LiveONLINE · English