Deep Learning

Deep Learning Course in Bangalore | 80-Hour Training with Certification & 100% Placement Assistance

Step into the future of technology with our Best Deep Learning Course in Bangalore. Designed for aspiring AI professionals, this course offers hands-on training, industry-recognized certification, and 100% placement assistance. Transform your career with cutting-edge skills and land your dream job in top MNCs like Google, Amazon, and Infosys.

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Deep Learning Course Info

Introduction

Deep Learning is at the forefront of the AI revolution, transforming industries like healthcare, finance, and technology. From powering self-driving cars to enabling personalized medicine, Deep Learning is reshaping the future. Our 80-hour Deep Learning Course in Bangalore is meticulously designed to equip you with cutting-edge skills, hands-on experience, and industry-recognized certification. With 100% placement assistance and a proven track record of placing students in top MNCs like Google, Amazon, and Infosys, this course is your gateway to a thriving career in Artificial Intelligence and Machine Learning.

Key Features

Here’s why our Deep Learning Course in Bangalore stands out:

✅ 80 Hours of Intensive Training: Master Deep Learning concepts with a comprehensive curriculum designed by industry experts.

✅ Globally Recognized Certification: Earn a certification that adds value to your resume and boosts your career prospects.

✅ 100% Placement Assistance: Get placed in top MNCs like Google, Amazon, Infosys, and ITC with our dedicated placement support.

✅ Live Projects & Practicals: Gain hands-on experience by working on real-world projects in healthcare, finance, and e-commerce.

✅ Expert Trainers: Learn from industry professionals with years of experience in AI and Machine Learning.

✅ Flexible Batches: Choose from weekday or weekend batches to suit your schedule, whether you’re a student or a working professional.

Course Syllabus

Our Deep Learning Course in Bangalore is designed to provide a comprehensive understanding of Deep Learning concepts and their real-world applications. Here’s a breakdown of the curriculum:

1. Introduction to Deep Learning

Basics of Neural Networks
Applications of Deep Learning in industries like healthcare, finance, and e-commerce
Overview of AI and Machine Learning

2. Deep Learning with Python

Introduction to Python for Deep Learning
TensorFlow and Keras Basics
Building Your First Neural Network

3. Advanced Topics

Convolutional Neural Networks (CNNs) for image processing
Recurrent Neural Networks (RNNs) for sequential data
Generative Adversarial Networks (GANs)

4. Live Projects

Real-world projects in healthcare (e.g., disease prediction)
Finance (e.g., fraud detection)
E-commerce (e.g., recommendation systems)

Who Should Enroll

This course is ideal for:

Students: Aspiring AI/ML enthusiasts looking to build a strong foundation in Deep Learning and kickstart their careers.
Professionals: IT professionals, software developers, and data analysts aiming to upskill and transition into high-demand roles in AI and Machine Learning.
Career Switchers: Individuals from non-tech backgrounds seeking to enter the fields of Data Science, AI, and Deep Learning.
Tech Enthusiasts: Anyone passionate about cutting-edge technologies and eager to explore the world of Artificial Intelligence.

Benefits of the Course

Enrolling in our Deep Learning Course in Bangalore offers you a wealth of benefits to accelerate your career and skill development:

🚀 Career Opportunities: Land high-demand roles like Deep Learning Engineer, Data Scientist, AI Specialist, and Machine Learning Engineer in top MNCs.

🎓 Globally Recognized Certification: Earn a certification that validates your expertise and enhances your resume, making you stand out to employers.

💼 100% Placement Support: Get dedicated job assistance and placement opportunities in leading companies like Google, Amazon, Infosys, and ITC.

🛠️ Hands-On Experience: Work on live projects in industries like healthcare, finance, and e-commerce to build a strong portfolio and gain real-world experience.

👨‍🏫 Expert Guidance: Learn from industry professionals with years of experience in AI and Machine Learning.

📅 Flexible Learning: Choose from weekday or weekend batches to fit your schedule, whether you’re a student or a working professional.

🌟 Comprehensive Curriculum: Our course covers everything from the basics of Deep Learning to advanced topics like CNNs, RNNs, and GANs, ensuring you’re job-ready.

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Don’t miss out on the opportunity to transform your career with our Deep Learning Course in Bangalore!

🚀 Enroll Now to Start Your Deep Learning Journey!

This immersive program offers a deep dive into advanced deep learning techniques and their applications, equipping you with the knowledge and skills to become a proficient deep learning practitioner. Whether you’re a seasoned professional or a newcomer to the field, this course will empower you to harness the power of deep learning to solve complex real-world problems.

Deep Learning Course Content

Foundations of Deep Learning

Neural Networks Basics:

Perceptrons and Multi-Layer Perceptrons (MLPs).
Activation Functions: ReLU, Sigmoid, Tanh, Softmax.
Loss Functions: Mean Squared Error (MSE), Cross-Entropy Loss.
Gradient Descent and Backpropagation.

Optimization Techniques:

Stochastic Gradient Descent (SGD).
Momentum, RMSProp, Adam Optimizer.
Learning Rate Scheduling.

Deep Learning Architectures

Convolutional Neural Networks (CNNs):

Convolutional Layers, Pooling Layers, Fully Connected Layers.
Popular Architectures: LeNet, AlexNet, VGG, ResNet, Inception.
Applications: Image Classification, Object Detection, Facial Recognition.

Recurrent Neural Networks (RNNs):

Vanilla RNNs, Long Short-Term Memory (LSTM), Gated Recurrent Units (GRUs).
Applications: Time Series Prediction, Natural Language Processing (NLP), Speech Recognition.

Generative Models:

Variational Autoencoders (VAEs).
Generative Adversarial Networks (GANs): DCGAN, CycleGAN, StyleGAN.
Applications: Image Synthesis, Data Augmentation, Art Generation.

Transformer Models:

Self-Attention Mechanism.
Transformer Architecture: Encoder-Decoder Structure.
Applications: NLP (e.g., BERT, GPT), Image Processing (e.g., Vision Transformers).

Advanced Topics in Deep Learning

Transfer Learning:

Fine-Tuning Pre-Trained Models (e.g., ResNet, BERT).
Applications: Domain Adaptation, Few-Shot Learning.

Reinforcement Learning with Deep Learning:

Deep Q-Networks (DQN).
Policy Gradient Methods.
Applications: Game Playing (e.g., AlphaGo), Robotics.

Unsupervised and Self-Supervised Learning:

Autoencoders.
Contrastive Learning (e.g., SimCLR, MoCo).
Applications: Clustering, Anomaly Detection.

Explainable AI (XAI):

Techniques: LIME, SHAP, Grad-CAM.
Applications: Interpreting Model Predictions, Debugging Models.

Deep Learning Frameworks and Tools

TensorFlow:

Building and Training Neural Networks.
TensorFlow Extended (TFX) for Production.

PyTorch:

Dynamic Computation Graphs.
TorchVision, TorchText, and TorchAudio Libraries.

Keras:

High-Level API for Rapid Prototyping.
Integration with TensorFlow.

Other Tools:

Hugging Face for NLP.
OpenCV for Computer Vision.
Weights & Biases for Experiment Tracking.

Applications of Deep Learning

Computer Vision:

Image Classification, Object Detection, Semantic Segmentation.
Applications: Autonomous Vehicles, Medical Imaging.

Natural Language Processing (NLP):

Text Classification, Sentiment Analysis, Machine Translation.
Applications: Chatbots, Language Models (e.g., GPT, BERT).

Speech and Audio Processing:

Speech Recognition, Text-to-Speech, Audio Classification.
Applications: Virtual Assistants, Voice-Controlled Devices.

Healthcare:

Disease Prediction, Drug Discovery, Medical Imaging Analysis.
Applications: Cancer Detection, Personalized Medicine.

Finance:

Fraud Detection, Algorithmic Trading, Risk Assessment.
Applications: Credit Scoring, Portfolio Management.

Cutting-Edge Research Topics

Self-Supervised Learning:

Techniques for Learning from Unlabeled Data.
Applications: Pretraining Large Models.

Federated Learning:

Training Models on Decentralized Data.
Applications: Privacy-Preserving AI.

Neural Architecture Search (NAS):

Automating the Design of Neural Networks.
Applications: Efficient Model Design.

Quantum Machine Learning:

Combining Quantum Computing with Deep Learning.
Applications: Solving Complex Optimization Problems.

Practical Implementation

Data Preprocessing:

Handling Missing Data, Normalization, Augmentation.
Tools: Pandas, NumPy, Scikit-Learn.

Model Training and Evaluation:

Hyperparameter Tuning: Grid Search, Random Search, Bayesian Optimization.
Evaluation Metrics: Accuracy, Precision, Recall, F1 Score, ROC-AUC.

Deployment and Scaling:

Model Deployment with TensorFlow Serving, Flask, or FastAPI.
Scaling Models with Distributed Training (e.g., Horovod).

Ethics and Challenges in Deep Learning

Bias and Fairness:

Identifying and Mitigating Bias in Models.
Ensuring Fairness in AI Systems.

Privacy and Security:

Differential Privacy.
Adversarial Attacks and Defenses.

Environmental Impact:

Energy Consumption of Deep Learning Models.
Sustainable AI Practices.

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Testimonials: Hear From Our Happy Students

Discover why we’re the top choice! Dive into our reviews and see why students love us. Join us today and experience excellence firsthand!

The Voice of Success: Explore Our Student Testimonials

The Deep Learning course at Cambridge Infotech was fantastic. The instructors were highly knowledgeable and provided in-depth explanations of complex topics. The practical sessions were particularly useful, allowing us to apply what we learned immediately. I feel much more confident in my deep learning skills now.

This course exceeded my expectations. The faculty took their time to ensure everyone understood the material thoroughly. I appreciated the hands-on projects, which were integral to solidifying my understanding of deep learning concepts. I highly recommend Cambridge Infotech to anyone looking to enhance their AI skills.

Cambridge Infotech’s Deep Learning course was excellent. The teaching methods were effective, and the instructors were very supportive. They provided plenty of resources and extra materials for further learning. This course has significantly boosted my career prospects in AI.

I had a great experience with the Deep Learning course. The trainers were patient and provided clear explanations. The course material was well-structured and covered all the essential topics in deep learning. I am grateful for the practical knowledge I gained here.

The course was well-organized and covered a wide range of topics in deep learning. The instructors were very approachable and always ready to help. The practical assignments were challenging but very rewarding. This course has prepared me well for real-world applications.

Friendly staff and an excellent teaching method made the Deep Learning course at Cambridge Infotech a pleasure to attend. The practical approach to teaching helped me grasp complex concepts with ease. I feel well-prepared to tackle deep learning projects in my job.

The Deep Learning course provided a comprehensive understanding of the subject. The tutors were knowledgeable and always willing to help. The course has significantly improved my understanding of AI and its applications. I had a great time learning here.

I’m very satisfied with the Deep Learning course at Cambridge Infotech. The trainers were supportive and the course content was very detailed. The hands-on projects were particularly useful for understanding how to apply deep learning techniques in real-world scenarios.

The teaching quality was excellent, and the instructors were very engaging. The course covered all the important aspects of deep learning, and the practical sessions were very beneficial. I learned a lot and feel more confident in my deep learning skills.

Cambridge Infotech is a great place to learn. The Deep Learning course was thorough and well-organized. The instructors were experts in the field and provided excellent guidance. The practical exercises helped me understand the concepts better.

I found the Deep Learning course at Cambridge Infotech to be very informative. The curriculum was comprehensive, and the instructors were always available to clear doubts. The hands-on sessions were invaluable for applying theoretical knowledge.

The course provided a solid foundation in deep learning. The instructors were knowledgeable and provided excellent support throughout the course. The practical projects were particularly beneficial in understanding real-world applications.

The Deep Learning course was well-structured and covered a lot of ground. The trainers were very knowledgeable and always willing to help. The practical sessions were especially useful in reinforcing the concepts learned in class.

I had an excellent experience with the Deep Learning course. The instructors were very professional and provided clear explanations. The course materials were very helpful, and the practical sessions were well-designed.

Cambridge Infotech's Deep Learning course is fantastic. The trainers are very knowledgeable and provide great insights into the subject. The practical projects were very helpful in understanding the real-world applications of deep learning.

I highly recommend the Deep Learning course at Cambridge Infotech. The instructors are very knowledgeable and the course content is comprehensive. The practical assignments were challenging but very rewarding.

The Deep Learning course was very informative and well-organized. The instructors were always available to help and provided excellent support throughout the course. The hands-on sessions were very beneficial.

I had a great experience with the Deep Learning course. The instructors were very knowledgeable and provided clear explanations. The practical sessions were particularly useful for understanding how to apply the concepts learned.

The Deep Learning course at Cambridge Infotech was excellent. The trainers were very supportive and the course content was very detailed. The hands-on projects were very useful in understanding the practical applications of deep learning.

I found the Deep Learning course to be very beneficial. The instructors were very knowledgeable and provided excellent support throughout the course. The practical sessions were particularly helpful in understanding the real-world applications of deep learning

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Frequently Asked Questions

Got questions? We’ve got answers! Explore our FAQ section to find solutions to common queries. Dive in now!

What are the prerequisites for this course?

To enroll in this course, you should have:

Basic knowledge of Python programming.
Familiarity with Machine Learning concepts (e.g., supervised learning, evaluation metrics).
Understanding of mathematics (linear algebra, calculus, probability).
No prior Deep Learning experience is required!

Do I need a background in Machine Learning?

While a basic understanding of Machine Learning is helpful, it’s not mandatory. We provide introductory resources to help you get up to speed.

Will I work on real-world projects?

Yes! You’ll work on live projects in industries like healthcare, finance, and e-commerce. These projects will help you build a strong portfolio and gain practical experience.

Do you offer placement assistance?

Yes, we provide 100% placement assistance. Our students have been placed in top MNCs like Google, Amazon, Infosys, and ITC.

Can I take this course if I’m a working professional?

Absolutely! We offer flexible batches (weekday and weekend) to suit your schedule.

What are the career opportunities after this course?

After completing this course, you can pursue roles like:

Deep Learning Engineer
Data Scientist
AI Specialist
Machine Learning Engineer
Research Scientist

Is there a certification provided?

Yes, you’ll receive a globally recognized certification upon completing the course. This certification will add value to your resume and help you stand out to employers.

What is the teaching methodology?

Our course follows a blended learning approach:

Live Lectures: Interactive sessions with industry experts.
Hands-On Projects: Real-world projects to apply your learning.
Assignments and Quizzes: To reinforce concepts and track progress.
Mentorship: One-on-one guidance from instructors.

Do you provide job interview preparation?

Yes, we offer interview preparation sessions, including:

Mock interviews.
Resume building workshops.
Tips for cracking technical rounds.

Can I pay the course fee in installments?

Yes, we offer flexible payment plans to make the course more affordable. Contact our admissions team for details.

Deep Learning Course Corporate Training

Join our Corporate Deep Learning Course to enhance skills and elevate professional effectiveness. Benefit from EMI Options and Placement Assistance.

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Upcoming Batch - Deep Learning Course

Join next batch and kickstart your journey. Elevate your communication skills and unlock endless opportunities. Benefit from flexible EMI options and placement support. Enroll now!

05/03/2026

Mon (Mon-Fri)

WEEKDAYS BATCH

10:00 am (IST)

(Class 1hr - 1:30Hrs)/Per Session

05/04/2026

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WEEKDAYS BATCH

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05/05/2026

Saturday

WEEKEND BATCH

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(Class 4hrs)/Per Session

Deep Learning Course Completion Certificate

Upon successfully completing our Deep Learning Course in Bangalore, you’ll receive a globally recognized certificate that validates your expertise in Deep Learning. This certificate is a testament to your skills and can significantly enhance your resume, making you stand out to employers.

Key Features of the Certificate

✅ Globally Recognized: Accepted by top MNCs and startups worldwide.

✅ Industry-Relevant Skills: Validates your proficiency in Deep Learning concepts, tools, and frameworks.

✅ Hands-On Experience: Highlights your ability to work on real-world projects and solve complex problems.

✅ Career Boost: Increases your chances of landing high-paying roles like Deep Learning Engineer, Data Scientist, and AI Specialist.

Choosing where to enhance your skills in Bangalore is a significant decision. Our institute offers comprehensive

Natural Language Processing (NLP)

29 Lessons
60 Hours
Intermediate
⭐⭐⭐⭐⭐ 4.6/5 (2660 Ratings)
3620 Enrolled

Cambridge Infotech