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Advanced AI & Deep Learning Training

Artificial Intelligence & Deep Learning Program

Learn Neural Networks, Deep Learning & AI Applications with Real-Time Projects

AI Deep Learning

Build strong expertise in neural networks, deep learning architectures, and practical AI applications through real-time projects. Gain hands-on skills for advanced AI and deep learning career paths.

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Batch Details & Schedule

Choose a learning format and schedule that fits your lifestyle

Session Time

1 - hour session per day

4 - Live Sessions per month(2-hours per session)

Course Duration

35 days

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Course Features & Highlights

Everything you need to become a successful AI & ML professional

Live Projects

Work on real-world projects from day one with industry use cases

Expert Trainers

Learn from industry professionals with 20+ years of experience

Learning Certification

Get certified and boost your resume with recognized credentials

Course Material

Access to course materials, pdf, videos, recorded sessions and other online resources

Internship

Internship Program Opportunities

  • Internship Program Opportunities

    After completion of Al ML, AI Deep Learning courses, can join in our internship program offers hands-on experience in real-world projects, allowing you to apply your skills and gain industry exposure. You'll work on projects that simulate real-world challenges, giving you a taste of what it's like to work in the field.

  • Selection criteria for internship

    Selection criteria for internship are based on the following factors:

    • Performance in the course
    • Online exam performance
    • Interview performance

  • Fees for internship

    Minimal fee for Tools and Subscription. This fee is applicable only for the internship program.

  • Internship certificate

    Issued industry-recognized internship completion certificate from Avowal Data Systems.

  • Internship Benefits

    Internship benefits are as follows:

    • Mock Interviews: Weekly mock interviews to prepare you for real job scenarios
    • Soft Skills Training: Communication, aptitude, and personality development sessions
    • Resume Building: Professional resume preparation and LinkedIn profile optimization
    • Job Search: Job search skills, assistance and support

Course Prerequisites & Eligibility

  • Basic understanding of programming concepts and Python fundamentals is beneficial
  • Dedication to complete hands-on labs, case studies, and capstone projects

Certification

  • Get industry-recognized certification that validates your skills and boosts your career prospects
  • Industry-recognize AI Deep Learning course completion certificate from Avowal Data Systems
  • Digital certificate with a unique verification ID for easy authenticity checks

Course Curriculum

Comprehensive modules covering every aspect of Natural Language Processing

  • Module 1: Foundations of Neural Nets
    • From Linear Regression to Perceptrons
    • Activation Functions (The Gatekeepers)
    • Multi-Layer Perceptrons (MLP)
    • The Chain Rule & Backpropagation
    • Loss Functions & Optimization
  • Module 2: Framework Mastery (TensorFlow & Keras)
    • Setting up the Deep Learning Kitchen
    • Your First Keras Sequential Model
    • Keras Functional API
    • Evaluating & Saving Deep Models
  • Module 3: Training & Regularization Mechanics
    • Weight Initialization Styles
    • The Vanishing Gradient Problem
    • Advanced Optimizers
    • Fighting Overfitting with Dropout
    • Batch Normalization
    • Callbacks & Early Stopping
  • Module 4: Computer Vision with CNNs
    • Biological Inspiration & Convolutions
    • Padding, Strides, and Pooling
    • Your First Convolutional Neural Network
    • Data Augmentation Techniques
    • Classic Architectures: LeNet & AlexNet
    • Modern Architectures: VGGNet & ResNet
    • Transfer Learning Mechanics
  • Module 5: Sequence Modeling with RNNs & LSTMs
    • Why Order Matters (Sequential Data)
    • Recurrent Neural Networks (RNN)
    • The Long Short-Term Memory (LSTM) Cell
    • Gated Recurrent Units (GRU) & Bidirectional Networks
  • Module 6: Advanced Paradigms & Capstone Project
    • Encoder-Decoder Foundations
    • Capstone Project: Setup & Exploration
    • Capstone Project: Model Engineering
    • Capstone Project: Evaluation & Deployment
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