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Transparent Programme Fees and Investment

Explore our clear pricing structure. No hidden fees, providing accessible rates designed for students and professionals.

AI Developer Training

Gain hands-on expertise in Python programming, machine learning, and practical software development for modern tech careers.

CAP Certified Credential

Earn the prestigious official certificate to validate your mastery in artificial intelligence and data science.

Global Learner Support

Receive dedicated guidance throughout your admission application and studies across India and international markets.

CAP in Artificial Intelligence Certificate Course

$399.99$249.99

Complete access to AI training and certification.

Our Professional Course Curriculum

Explore industry-oriented technology programmes designed to develop practical programming, numerical computing and artificial intelligence skills.

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Python Programming

Build a strong foundation in Python programming, software development, automation and advanced concepts.

7 Curriculum Modules
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Module 1: Python Fundamentals
  • Introduction to Python
  • Installation and development environment
  • Variables and data types
  • Operators and expressions
  • Conditional statements and loops
Module 2: Python Data Structures
  • Lists and tuples
  • Dictionaries and sets
  • Strings and manipulation
  • List comprehensions
Module 3: Functions and Modules
  • Functions and parameters
  • Lambda functions
  • Modules and packages
  • Exception handling
Module 4: Object-Oriented Programming
  • Classes and objects
  • Inheritance and polymorphism
  • Encapsulation and abstraction
Module 5: Advanced Python
  • File handling
  • Generators and decorators
  • Regular expressions
  • Virtual environments and pip
Module 6: Data Processing
  • CSV and JSON processing
  • Data manipulation
  • Working with APIs
  • Automation techniques
Module 7: Practical Projects
  • Data processing application
  • File automation tool
  • Python reporting system
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NumPy for Data Science

Master numerical computing, multidimensional arrays, mathematical operations and high-performance data processing.

7 Curriculum Modules
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Module 1: Introduction to NumPy
  • Numerical computing fundamentals
  • NumPy installation and setup
  • Understanding ndarray
  • Array dimensions and attributes
Module 2: Array Creation
  • One-dimensional arrays
  • Multidimensional arrays
  • Array initialization
  • Reshaping and transposing
Module 3: Indexing and Slicing
  • Array indexing
  • Array slicing
  • Boolean indexing
  • Advanced selection techniques
Module 4: Mathematical Operations
  • Arithmetic operations
  • Universal functions
  • Statistical calculations
  • Mean, median and standard deviation
Module 5: Broadcasting and Vectorization
  • Broadcasting rules
  • Vectorized operations
  • Performance optimization
  • Memory efficiency
Module 6: Advanced NumPy
  • Linear algebra
  • Matrix operations
  • Random number generation
  • Sorting and searching
Module 7: Practical Projects
  • Numerical data analysis
  • Statistical computation
  • Data preprocessing pipeline
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PyTorch and Deep Learning

Learn to develop, train and deploy deep learning models using PyTorch and modern artificial intelligence techniques.

8 Curriculum Modules
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Module 1: Introduction to PyTorch
  • Deep learning fundamentals
  • PyTorch installation
  • Tensor creation and manipulation
  • CPU and GPU computation
Module 2: Tensor Operations and Autograd
  • Tensor indexing and slicing
  • Tensor arithmetic
  • Automatic differentiation
  • Computational graphs
Module 3: Neural Networks
  • Neural network fundamentals
  • Activation functions
  • torch.nn framework
  • Backpropagation
Module 4: Training and Optimization
  • Loss functions
  • Optimizers
  • Training and validation
  • Hyperparameter tuning
Module 5: Advanced Deep Learning
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • LSTM architectures
  • Transfer learning
Module 6: Computer Vision
  • Image classification
  • Image preprocessing
  • Object recognition
  • Feature extraction
Module 7: Modern AI Architectures
  • Transformer fundamentals
  • Attention mechanisms
  • Modern deep learning applications
Module 8: Deployment and Projects
  • Saving and loading models
  • Model inference
  • GPU acceleration
  • AI model deployment
  • Practical AI projects

University students collaborating around a laptop in a lecture hall.

Comprehensive Programme Enrollment Guarantee

We ensure that we give you the best and competitive price across all educational platforms worldwide. You can reach us for any query if you find a better price as compared to ours.

Frequently Asked Questions about CAP.

Find essential details regarding our technology education programmes, admissions, and credentials to help you plan your studies.

What is the AI Developer Training Programme?

It is our flagship programme focusing on Python, machine learning, generative AI, and practical software development.

Who can apply for admission at Corelytics Academy?

We welcome students, recent graduates, and working professionals from India and international locations.

What official certificate do I receive upon completion?

Graduates earn the esteemed CAP Certified in Artificial Intelligence credential.

How do I submit an admission application?

You can easily complete your application and student registration directly through our platform online.

Are programmes open to international learners?

Yes, we fully support programme enquiries and registrations for learners globally alongside our primary market in India.

What subjects are covered in the curriculum?

Our syllabus covers Python programming, artificial intelligence, machine learning, data science, and generative AI.