Instructor-led training

Building Intelligent Applications with AI and ML - Level 2 Training in Coralville, Iowa

Azure training from Hartmann Software Group, delivered onsite in Coralville, Iowa or live online.

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What you'll learn

Most intelligent applications involve using huge quantities of data in various formats. Deep learning and linguistics are widely becoming a part of intelligent applications in every field. Natural Language processing is one of the broadly applied areas of machine learning to effectively analyze massive quantities of unstructured, text-heavy data. Intelligent applications using NLP include models that analyze speech and language, uncover contextual patterns, and provide insights from text and audio.

This course focuses on covering deep learning concepts required to understand NLP and then focuses on introducing you to the concepts of NLP slowly taking you to basic and advanced NLP models for text processing, analytics, and building applications using NLP.

Prerequisites

Basic familiarity with Python programming. Basic understanding of Data Terminologies. Familiarity with enterprise IT. Foundational knowledge in mathematical concepts like linear algebra and probability Basic Linux skills Basic SQL skills Should have attended 'Building Intelligent Applications with Artificial Intelligence (AI) and Machine Learning (ML) Level 1

Course Outline

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

Training locations

Building Intelligent Applications with AI and ML - Level 2 training across the U.S. and beyond.

We provide Building Intelligent Applications with AI and ML - Level 2 training onsite and live online for organizations throughout the United States and internationally.

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Tell us about your employees, your goals, and your preferred schedule. We'll prepare a training proposal covering scope, delivery format, and pricing.

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or call 303.377.6176