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About the Neural Networks Course

The Neural Networks Course by Skill Up Partner is designed to help learners understand how machines learn — and how to build intelligent models using deep learning techniques. Starting from the basics of how artificial neurons work, the course progresses through building and optimizing neural networks using TensorFlow and Keras, all the way to working on real-world problems like image classification and sentiment analysis. Whether you’re a student stepping into AI or a developer upskilling for ML roles, this course is your path to mastering one of the most powerful tools in Artificial Intelligence.

Modules Breakdown

Module 1

Introduction to Neural Networks:

  • What is a neural network?
  • Understanding perceptron and multilayer networks
  • Use cases: image recognition, speech, recommendation

Anatomy of a Neural Network

  • Neurons, weights, and architecture
  • Activation functions: ReLU, Sigmoid, Softmax
  • Forward and backward propagation explained

Building Models with Keras

  • Introduction to TensorFlow and Keras
  • Creating your first ANN: compile, train, evaluate
  • Hands-on project: Predicting student scores
  • Model improvement using callbacks
  • Evaluation metrics (accuracy, loss, validation)

Optimization & Evaluation

  • Loss functions & optimizers (SGD, Adam)
  • Epochs, batch size, learning rate tuning
  • Handling overfitting: dropout, L2 regularization
  • Model evaluation: precision, recall, confusion matrix

Image Classification with CNN

  • Conv2D, Pooling layers, Flattening
  • Building a CNN using Keras
  • Dataset: MNIST or custom image data

Capstone Project

  • Final hands-on neural network project
  • Example: Disease prediction, sentiment analysis
  • GitHub upload, mentor evaluation & demo session

Why Choose Skill Up Partner?

  • ISO Certified & IAF-Accredited Career Training Provider

  • Industry-Focused Curriculum

  • Mentorship by MNC & Industry Experts

  • Hands-On Project-Based Training

  • 100% Online & Flexible Learning

  • Internship with Certification + Project Experience

  • Designed for Freshers & Working Professionals

  • Taught in Tamil + English

  • Resume & Interview Preparation Support

  • Access to Live Projects for Portfolio Building

Tools & Technologies You’ll Master

Programming Languages

  • Python – Core language for building neural network models
  • R (optional) – For statistical modeling & visualization

Deep Learning Frameworks

  • TensorFlow – Google’s deep learning library
  • Keras – High-level API to build and train ANN/CNN/RNN
  • PyTorch (optional/advanced) – Research-focused DL framework

Data Handling & Visualization

  • NumPy – Multi-dimensional arrays and matrix operations
  • Pandas – Data cleaning and transformation
  • Matplotlib & Seaborn – For data visualization & loss curve plotting

Model Evaluation & Optimization

  • Scikit-learn – Preprocessing, metrics (accuracy, confusion matrix)
  • TensorBoard – Visualizing training metrics & architecture
  • GridSearchCV – Model tuning (for advanced learners)

Computer Vision Tools (for CNN module)

  • OpenCV – For image preprocessing and computer vision tasks
  • MNIST/CIFAR-10 datasets – Common datasets for image classification

Coding & Deployment Platforms

  • Google Colab / Jupyter Notebook – Cloud-based coding environments
  • Git & GitHub – Version control & portfolio building
  • Streamlit / Flask (optional) – Model deployment & dashboarding

Our plans for everyone Neural Networks Course

Beginner

â‚ą 1,499

â‚ą 2,999.00 Save 50%

🔥 Limited time offer

10–12 days live courses.
Recommended For:
– 1st/2nd year CSE, IT, AI/DS students
– Beginners exploring machine learning
– Students with basic Python knowledge
– Learners building strong AI foundations
– Students looking for internship opportunities

Intermediate

â‚ą 3,499

â‚ą 6,999.00 Save 50%

🔥 Limited time offer

30 days live courses
Recommended For:
– 3rd/ Final-year students & AI/ML enthusiasts
– Freshers aiming for ML-based careers
– Learners familiar with Python/ANN basics
– Students preparing for academic or portfolio projects

Advanced

Flexible

always :)

Long term one to one
Recommended For:
– Students building AI-based final year projects
– Freshers applying to AI/ML internships or startups
– Learners seeking real-world deep learning exposure

Our Mentors from

various MNCs and industries have rich professional experience

Woman Holding Cup Standing in the Kitchen

Why Choose Neural Networks Course

Neural Networks are the foundation of modern AI — powering everything from speech recognition and self-driving cars to medical diagnosis and intelligent assistants. This course is designed to help you understand how neural networks work, how to build them from scratch, and how to apply them to solve real-world problems.

At Skill Up Partner, we don’t just teach theory. You’ll learn by doing — through guided projects, real datasets, and mentor support. Whether you’re starting out or upskilling, this course gives you the tools, confidence, and portfolio to pursue a successful career in AI or data-driven roles.

Key Highlights:

  • Learn to build Artificial Neural Networks (ANN), CNNs, and simple RNNs
  • Hands-on with TensorFlow, Keras, NumPy, Pandas, and Matplotlib
  • Real-time projects like image classification, pattern detection, and sentiment analysis
  • Strong focus on model architecture, training, evaluation, and deployment basics
  • Mentor-led live sessions with project reviews and GitHub portfolio support
  • ISO-certified completion certificate with verifiable code

Who Should Join?

  • Students in CSE, IT, AI, Data Science, or ECE domains
  • Freshers looking to build a strong foundation in deep learning
  • Working professionals in Python, analytics, or AI roles who want to level up
  • Anyone passionate about machine intelligence, computer vision, or NLP
  • Learners preparing for AI research, product companies, or MNC interviews

Future Scope of Neural Networks

The future of technology is being shaped by neural networks, the core component of most advanced Artificial Intelligence (AI) systems. From self-driving cars to voice assistants, facial recognition to personalized recommendations — neural networks are driving innovation across industries.

As businesses adopt AI across domains, the demand for professionals who understand neural architectures, training techniques, and model deployment is growing exponentially. Whether you’re a fresher or a working professional, mastering neural networks opens the door to high-paying, future-proof roles across sectors.

Key Growth Areas in Neural Networks:

  • Computer Vision
    Image classification, facial recognition, medical imaging, object detection in security, automotive & drones.

  • Natural Language Processing (NLP)
    Text analysis, sentiment detection, machine translation, question answering, and generative language models like ChatGPT.

  • Speech & Audio Processing
    Voice recognition (e.g., Alexa, Siri), speech-to-text, audio classification, and virtual assistants.

  • Generative AI (GANs & Transformers)
    Content creation tools, deepfakes, image generation (MidJourney, DALL·E), and LLM-based platforms.

  • Autonomous Systems & Robotics
    Self-driving cars, delivery bots, and industrial automation powered by deep reinforcement learning and neural inference.

  • Healthcare & Biomedical AI
    Disease prediction, X-ray/MRI diagnosis, personalized treatment planning using CNNs and neural-based models.

  • Edge AI & IoT
    Running neural networks on embedded systems (Raspberry Pi, NVIDIA Jetson) for smart devices, wearables, and real-time decisions.

  • AI in Finance & Business Intelligence
    Fraud detection, credit scoring, predictive analytics, customer segmentation, and demand forecasting.

  • Recommendation Systems
    Used in e-commerce (Amazon), OTT (Netflix), YouTube, and social platforms to personalize user experience.

  • Smart Assistants & Chatbots
    Neural-based chat agents for customer support, learning apps, mental health bots, etc.