Name: Deep Learning AI Techniques for Executives, Developers and Managers
Availability: InStock

Deep Learning AI Techniques for Executives, Developers and Managers

Dive into the world of deep learning and grasp its transformative impact on product design and organizational strategy. In this comprehensive course, understand deep learning's growing significance, the companies that have been trailblazers in its adoption, and how it can be tailored to cater to a spectrum of roles, from executives and developers to salespersons and project managers.

What will you learn?

With companies like Google, Salesforce, and Amazon reaping the rewards of deep learning AI, it's time for your organization to jump on the bandwagon. Designed for an array of professionals, from top-tier executives to on-the-ground developers, this course provides a deep dive into the world of deep learning. Here's what you can expect:

• For Executives: Grasp a holistic understanding of AI, align it with your corporate strategy, and chart out resource allocation plans for maximum impact.

• For Project Managers: Master the intricacies of AI project management, from data evaluation and cleanup to integrating AI into business processes.

• For Developers: Gain technical expertise in areas like neural networks, image analytics (CNNs), and natural language processing (NLP).

• For Salespersons: Understand AI's value proposition and learn how to advocate its benefits to potential clients.

Requirements:

There are no specific requirements needed to attend this course.

Course Outline*:

*We know each team has their own needs and specifications. That is why we can modify the training outline per need.

1. Foundations of Machine Learning

Machine Learning Basics - From its history to the rise of deep learning.
Dive deep into artificial neurons, neural networks, activation functions, and error propagation.
Discover the significance of training, testing, data biases, and bias-variance trade-offs.
Wrapping up with an exploration of logistic regression, cost functions, and machine learning versus deep learning.

2. Explore Convolutional Neural Networks (CNN)

Unveil the world of CNNs - From computer vision applications to understanding image pixels and convolutions.
Delve into signal theories, frequency spectrums, and convolutional filters.
Dissect the CNN architecture, convolutional layers, and data abstraction techniques.
Examine the ImageNet dataset, VGG-16 model, and the intricacies of feature visualization.

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3.Journey through Sequence Models

Get introduced to sequence models, language modeling, and differences in sequences.
Discover recurrent neural networks (RNNs), deep RNN architectures, and sequence predictions.
Dive into natural language processing (NLP), sentiment analysis, and the power of word embeddings.
Conclude with audio data processing, beam search, attention models, and trigger word detection.

Hands-on learning with expert instructors at your location for organizations.

4.347€*