AI and Deep Learning
4.5/5

Artificial Intelligence (AI) relates to incorporating human intelligence into machines based on algorithms.  It is the driving force behind advancing technologies and encompasses machine learning, where machines are programmed to learn by experience. Deep learning, a subset of machine learning is driving all innovations in AI. Deep learning involves repeated execution of algorithms for a task, and every time tweaks it for improved performances.

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Course Highlights

  • Instructor-Led Training
  • Exercises & Project Work
  • Hands-on Exposure
  • Custom learning modes
  • Guaranteed to run schedules
  • 24 x 7 Lifetime Support & Access
Course Description

Artificial Intelligence (AI) relates to incorporating human intelligence into machines based on algorithms.  It is the driving force behind advancing technologies and encompasses machine learning, where machines are programmed to learn by experience. Deep learning, a subset of machine learning is driving all innovations in AI. Deep learning involves repeated execution of algorithms for a task, and every time tweaks it for improved performances. Being the most sought-after skills, AI and Deep Learning training courses help you build and apply convolutional neural networks for image generation and classification, deploy models, predict time-series and much more.

Brillica Services is a prominent provider of comprehensive Artificial Intelligence and Deep Learning certification training course that empowers you with in-depth knowledge on neural networks, logistic regression, vectorization and provide hands-on experience on real-world applications of deep learning.

Become an expert in neural networks with our AI and Deep learning training course at Brillica Services. Specifically crafted for AI beginners and experienced professionals, we offer a range of customized training in different learning modes, to best-fit your schedules and conveniences.

Course objectives

Upon completion of AI and deep learning training program, the learners will acquire understanding on:

  • Artificial Intelligence and its underlying essentials
  • Deep Learning techniques and fundamentals
  • Understanding an Artificial Neural Network
  • How to train a neural network with training data
  • Convolutional neural networks and its applications
  • The supervised and unsupervised learning methodology
  • Machine learning with Python language
  • TensorFlow and Tensor Processing Unit
  • Application of DL in image recognition, NLP and more
  • Real-world projects in recommender systems and others
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Target Audience

The course is best suited for:

  • All B.E/B.Tech graduates
  • All analytics, data science, eCommerce, search engine domain professionals
  • All software professionals looking for a career switch
Pre-requisite

The course does not have any official pre-defined pre-requisite to taking the course. Anyone who has an interest in understanding the AI and deep learning technologies can take the course.  However, prior knowledge and experience of python programming can prove beneficial in having a cutting-edge.

Course Content
  • Introduction to Artificial Intelligence (AI)
  • Deep Learning in Python
  • Overview of Tensor Flow
  • Neural Networks Using Tensor Flow
  • Deep Learning Networks
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN)
  • Restricted Boltzmann Machine (RBM)
  • Deep Learning with Tflearn
  • Deep Learning with Keras
  • Key Applications of Deep Learning in Ai
  • Final Projects- Consolidate the Learning & Implement Them in Python
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