Neural Network Online Course

SKU: 3796
8 Lesson
|
45 Hours
The demand for AI professionals is skyrocketing, and the Neural Network Course by igmGuru is built to meet that moment head-on. This program gives you a practical, job-ready foundation in neural network training, covering everything from core architectures to real-world deployment - making it the go-to starting point for anyone ready to build a serious career in AI and deep learning.

Overview

Neural networks sit at the heart of today's most transformative technologies - from self-driving vehicles to Generative AI tools. igmGuru's Neural Network online course is designed with working professionals and aspiring AI engineers in mind. You will move beyond theory and into hands-on model building, covering feedforward networks, backpropagation, CNNs, RNNs, and Transformers. Whether you are switching careers or deepening existing skills, this neural network online training gives you the technical depth that employers actually look for.

Prerequisites

No prior deep learning experience is required. This course is structured so that neural network training for beginners is both accessible and progressively challenging. Before enrolling, learners should ideally have:

  • Basic programming knowledge in Python (functions, loops, data structures)
  • Foundational understanding of linear algebra (matrices, vectors, dot products)
  • Familiarity with calculus concepts - specifically derivatives and gradients
  • Elementary knowledge of statistics and probability
  • Prior exposure to machine learning concepts is helpful but not mandatory

Course Objectives

By the time you finish this program, you will be equipped to design, train, and evaluate neural network models that solve real business problems.

  • Understand the biological inspiration and mathematical foundation of neural networks
  • Implement feedforward, convolutional, recurrent, and transformer-based architectures
  • Master neural network training techniques including backpropagation, gradient descent, and optimization
  • Apply regularization strategies to prevent overfitting and improve model generalization
  • Build and fine-tune models using TensorFlow and PyTorch
  • Deploy trained models in cloud environments and production pipelines
  • Evaluate model performance using industry-standard metrics and validation methods

What You Will Learn

This program takes a structured, build-as-you-learn approach. Here is what you can expect to walk away with:

  • A solid grasp of how neurons, layers, weights, and activation functions work together
  • Proficiency in designing deep learning architectures suited to different data types
  • Hands-on experience with supervised and unsupervised neural network training workflows
  • Techniques to tune hyperparameters, reduce training time, and improve accuracy
  • Practical skills in natural language processing using RNNs and Transformer models
  • Computer vision capabilities using Convolutional Neural Networks
  • Experience working with real-world datasets and solving end-to-end ML problems
  • Familiarity with MLOps practices for model monitoring and maintenance
  • Confidence to participate in AI projects at the professional level

Who Is This Course For?

This training is built for anyone who wants to work at the intersection of data, engineering, and intelligence - across industries and experience levels.

  • Software developers looking to transition into AI/ML engineering roles
  • Data analysts who want to add Deep Learning to their skill set
  • Students in computer science, engineering, or mathematics
  • IT professionals exploring automation and AI-driven solutions
  • Business intelligence professionals working with large data sets
  • Researchers who want practical implementation skills alongside theory
  • Professionals preparing for AI/ML certifications or job interviews

Tools and Technologies Covered

Throughout this program, you will work with the exact tools used by AI teams at leading companies worldwide.

  • Python - Core programming language for all ML/DL development
  • TensorFlow & Keras - Building, training, and deploying neural network models
  • PyTorch - Dynamic computation graphs and research-grade model development
  • NumPy & Pandas - Data manipulation and numerical computing
  • Scikit-learn - Classical ML integration and model evaluation
  • Matplotlib & Seaborn - Data visualization and training diagnostics
  • Jupyter Notebooks - Interactive development and experiment tracking
  • Google Colab & AWS SageMaker - Cloud-based GPU training environments
  • Hugging Face Transformers - Pre-trained NLP and vision models
  • Docker & Git - Containerization and version control for ML projects

Career Outcomes

Completing this neural network online certification opens doors to some of the most in-demand and well-compensated roles in the technology sector.

  • Neural Network Engineer - Design and optimize deep learning pipelines
  • Machine Learning Engineer - Build scalable ML systems for production environments
  • Deep Learning Research Scientist - Push the boundaries of AI model architectures
  • AI Solutions Architect - Map business problems to intelligent system designs
  • Computer Vision Engineer - Develop image and video recognition applications
  • NLP Engineer - Power chatbots, translation tools, and text analytics platforms
  • Data Scientist (AI/ML focus) - Drive data-backed decisions with predictive models
  • MLOps Engineer - Ensure reliable deployment and monitoring of AI systems

Salary

Neural network and AI roles command some of the highest compensation packages in the global tech industry, with demand far outpacing available talent in 2025-2026.

Experience Level India (Annual Salary) USA (Annual Salary)
Entry-Level (0-2 Years) ₹6 - ₹12 LPA $78,000 - $105,000
Mid-Level (2-5 Years) ₹12 - ₹25 LPA $105,000 - $140,000
Senior-Level (5-8 Years) ₹25 - ₹45 LPA $140,000 - $190,000
Lead / Principal (8+ Years) ₹45 - ₹80+ LPA $190,000 - $240,000+

Top Companies Hiring Neural Network Engineers

  • Global Tech Giants: Google, Microsoft, Meta, Amazon
  • Hardware & Autonomous Systems: NVIDIA, Tesla, Qualcomm, Intel
  • Consulting & IT Services: Accenture, Deloitte, IBM, Infosys
  • Enterprises & Fintech: JPMorgan Chase, Visa, Stripe, Bloomberg

Why Choose igmGuru for This Training?

igmGuru has trained thousands of professionals globally, and our neural network courses are built differently - with outcomes, not just content, at the center.

  • Live instructor-led sessions with real-time doubt resolution
  • Curriculum aligned with current industry standards and hiring trends
  • Hands-on projects using real-world datasets from day one
  • Flexible batch timings to fit working professionals' schedules
  • Dedicated career support including resume reviews and mock interviews
  • Lifetime access to course recordings and updated learning materials
  • Globally recognized Neural Network Certification upon course completion

Key Features

Course Curriculum

1. History and biological inspiration behind artificial neural networks
2. The neuron model: weights, bias, and activation functions
3. Perceptrons and single-layer networks
4. Introduction to feedforward architecture and information flow
1. Loss functions and cost optimization principles
2. Gradient descent variants: Batch, Stochastic, and Mini-Batch
3. Backpropagation algorithm - mechanics and intuition
4. Neural network training workflows: epochs, batches, and learning rates
5. Vanishing and exploding gradient problems and solutions
1. Multi-layer perceptrons and deep feedforward networks
2. Convolutional Neural Networks (CNNs) for image and visual data
3. Recurrent Neural Networks (RNNs), LSTMs, and GRUs for sequential data
4. Autoencoders and unsupervised representation learning
5. Generative Adversarial Networks (GANs) - fundamentals and use cases
1. Hyperparameter tuning strategies - learning rate, batch size, depth
2. Dropout, Batch Normalization, and L1/L2 regularization
3. Advanced optimizers: Adam, RMSprop, AdaGrad
4. Data augmentation and transfer learning techniques
5. Early stopping and model checkpointing
1. Word embeddings: Word2Vec, GloVe, and FastText
2. Sequence-to-sequence models and attention mechanisms
3. Transformer architecture - encoder, decoder, and self-attention
4. BERT, GPT, and pre-trained language model fine-tuning
5. Practical NLP tasks: sentiment analysis, named entity recognition, QA
1. Image preprocessing, augmentation, and feature extraction pipelines
2. Object detection with YOLO and Faster R-CNN
3. Image segmentation using U-Net and Mask R-CNN
4. Neural style transfer and image generation
5. Real-world project: building an end-to-end image classification system
1. Saving, exporting, and serving trained models with TensorFlow Serving and TorchServe
2. REST API development for ML model endpoints
3. Deploying models on AWS SageMaker, Google Cloud AI Platform, and Azure ML
4. Model monitoring, drift detection, and performance tracking
5. CI/CD pipelines for machine learning workflows
1. End-to-end deep learning project on a real-world dataset
2. Problem framing, data preparation, model selection, and training
3. Model evaluation, hyperparameter tuning, and deployment
4. Project presentation and peer review session
Talk To Us

We are happy to help you

1-800-7430-173 (US Toll Free)
Drop Us a Query
Fields marked * are mandatory

Request For Live Demo Class

Course Fees

Online Class Room Program

US $ 799.00
100% Money Back Guarantee
  • Duration : 45 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 02 Jul 2026
  • Weekday Batch 06 Jul 2026
  • Weekend Batch 04 Jul 2026

1 ON 1 Training

US $ 899.00
100% Money Back Guarantee
  • Duration : 45 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 02 Jul 2026
  • Weekday Batch 06 Jul 2026
  • Weekend Batch 04 Jul 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

Trusted By Top Companies Worldwide

MITSUBISHI
Emirates
BECHTEL
Tech Mahindra
Techmill
metacube
Fareportal
Trelleborg
Capgemini
AU Small Finance Bank
United Nations
Inter Mid
SoftFlex
align
utthunga
Rimini Street
EJADAH
Yash Technologies
suyati
Hettich
APPCINO

Want to know Today's Offer

X

Neural Network Certification

The Neural Network Certification from igmGuru is awarded upon successful completion of all course modules, assignments, and the capstone project. It serves as a credible, portfolio-backed proof of your skills - something that carries real weight when you are applying for AI and ML roles. What makes this certification stand out is not just the credential itself, but what it represents: hands-on project experience, live instructor-led learning, and a structured understanding of neural network training from fundamentals to deployment. Employers increasingly look for candidates who can demonstrate applied knowledge - and that is exactly what igmGuru prepares you for. Whether you are targeting your first AI role or leveling up from a data analytics background, earning a neural network online certification through igmGuru gives you the confidence and proof-of-skill to stand out in a competitive hiring market. Join thousands of igmGuru alumni who have used this certification as a career springboard in machine learning, computer vision, NLP, and beyond.

Neural Network Certification

FAQ's

Not at all. The program starts from the ground up. As long as you have basic Python skills and some math comfort, you are set. The first two modules are specifically designed to bring everyone up to speed before diving into advanced topics.

All sessions are conducted live online, with expert instructors leading each class. Recordings are available afterward, so you never miss a session. You also get access to practice labs, assignments, and project environments throughout the course.

You will work on hands-on projects covering image classification, text sentiment analysis, object detection, and a capstone end-to-end deep learning pipeline. These are built to resemble real industry tasks and are portfolio-worthy by the time you finish.

Yes. igmGuru's certification is respected across the industry. More importantly, the portfolio you build - real projects, deployed models, hands-on lab work - is what most hiring managers care about. The certificate validates your learning, while your project work proves it.

igmGuru provides dedicated placement assistance that includes resume-building sessions, LinkedIn profile optimization, mock technical interviews, and access to our hiring partner network. Many of our graduates have successfully landed roles at top AI-focused companies within months of completing the program.

Contact Us
Contact Us Worldwide
1-800-7430-173
(US Toll Free)


WhatsApp
+91-7240-740-740
(WhatsApp)

Reviews


Login
Don't have an account?
Sign Up

Our Alumni works at

HCL
FAI
YOKAGAWA
Tech Mahindra
SOCIETE GENERALE
SAMSUNG
EMIDS
DHL
FedEx
PayPal
BOSCH
asian paints
MICRO FOCUS
hgs
eClerx
Nasdaq
Persistent
CSS CORP
×

Your Shopping Cart


Your shopping cart is empty.