Introduction to Deep Learning and AI
Deep learning is revolutionizing industries by enabling machines to solve complex problems through artificial intelligence (AI). At Online IT Guru, our deep learning course is designed for professionals and enthusiasts aiming to gain expertise in artificial neural networks, natural language processing (NLP), computer vision, and advanced machine learning techniques. With structured modules, hands-on projects, and certification guidance, this course will help you build skills that are highly sought after in today’s AI-driven world.
Whether you are a software engineer, data scientist, analyst, or a professional wanting to switch to AI, this course offers comprehensive training led by industry experts. You will not only learn the theoretical foundations but also work on real-world projects that build your portfolio for platforms like GitHub and Kaggle.
Why Enroll in Our Deep Learning Course?
Learn from Experts
Our deep learning certification program is led by seasoned trainers with years of experience in AI and machine learning. Their real-world insights and best practices will prepare you for actual job scenarios.
Industry-Ready Curriculum
The course covers:
- Fundamentals of neural networks and deep learning
- Convolutional Neural Networks (CNNs) for image recognition
- Recurrent Neural Networks (RNNs) for sequential data
- Generative AI and Large Language Models (LLMs)
- Natural Language Processing (NLP) and speech recognition
- Deep learning using Python, TensorFlow, Keras, and PyTorch
Hands-on Projects
You will complete 30+ assignments, 12 real-life case studies, and 2 capstone projects that showcase your practical skills.
Certification and Job Assistance
After successful completion, you will receive a deep learning certification recognized by companies across industries. Online IT Guru also provides resume building, mock interviews, and placement support through its global network.
Deep Learning Course Overview
Duration and Mode
- Duration: 30 hours of video lessons + live masterclasses
- Mode: Live online sessions and self-paced learning
- Access: Lifetime access to LMS, assignments, and recordings
What You Will Learn
- Artificial Neural Networks (ANNs) – Basics to advanced architecture
- CNNs – For image and video processing
- RNNs and LSTMs – For time series, speech, and language tasks
- Autoencoders and GANs – For generative AI tasks
- Natural Language Processing (NLP) – Sentiment analysis, text summarization
- Deploying models in cloud environments
Tools & Technologies
- Python
- TensorFlow
- Keras
- PyTorch
- NumPy, Pandas, Matplotlib
Deep Learning Course Modules
- Python Preparatory Session
- Refresh your programming skills with Python fundamentals, NumPy, and Pandas.
- Mathematics for Deep Learning
- Learn linear algebra, probability, and calculus essential for deep learning.
- Neural Networks Foundations
- Build from perceptron models to deep multilayer architectures.
- Convolutional Neural Networks (CNNs)
- Understand and implement CNNs for image classification.
- Recurrent Neural Networks (RNNs)
- Handle sequence data using RNNs and LSTMs.
- Natural Language Processing (NLP)
- Apply deep learning to text and speech data.
- Generative AI and Autoencoders
- Dive into GANs, autoencoders, and large language models.
- Model Deployment and Cloud Integration
- Learn model deployment using Flask, Docker, and cloud platforms.
- Capstone Projects
- Two-week project that applies your learning to solve business problems.
Who Should Take This Course?
- Data scientists looking to upgrade to AI roles
- Software engineers transitioning into machine learning
- Analysts and consultants integrating AI into solutions
- Students and fresh graduates seeking AI deep learning certification
Benefits of Deep Learning Certification
- Career growth: AI-certified professionals command higher salaries and better roles.
- Practical skills: Build deployable AI solutions and contribute to real-world AI projects.
- Global opportunities: AI talent is in demand across industries like healthcare, finance, retail, and automotive.
- Networking: Be part of a community of AI professionals and learners.
Training Options
Live Online Training
- Real-time interaction with instructors
- Flexible schedules
- Access to live session recordings
Self-Paced Learning
- Learn anytime, anywhere
- Ideal for working professionals
Corporate Training
- Customized content
- Flexible group schedules
Deep Learning Certification Process
- Complete all modules and assignments
- Submit and pass capstone projects
- Receive your AI deep learning certification from Online IT Guru
- Showcase your projects on GitHub, Kaggle, and LinkedIn
Choosing Online IT Guru’s deep learning course means gaining hands-on experience in AI and machine learning with certification that adds value to your professional profile. With expert trainers, real-world projects, and strong job support, this course is a smart investment for your future in AI.
10 Frequently Asked Questions
1. What is the duration of the deep learning course?
The course duration is about 30 hours of video content with additional time for projects and assignments.
2. Is prior coding knowledge required?
Basic programming knowledge, preferably in Python, is recommended.
3. Do I get a certificate after completing the course?
Yes, you will receive a deep learning certification from Online IT Guru upon successful completion.
4. What is the cost of the course?
Please check the website for the latest discounted price and flexible payment options.
5. Are the classes live or recorded?
The course includes both live instructor-led classes and recorded sessions for self-paced learning.
6. Will I get placement support?
Yes, Online IT Guru provides job assistance and helps connect you with hiring companies.
7. Are projects included in the deep learning course?
Yes, you will work on real-world projects and assignments that strengthen your portfolio.
8. Can I access the content after course completion?
Yes, you get lifetime access to the LMS, including videos, assignments, and resources.
9. What tools will I learn in the course?
You will work with Python, TensorFlow, Keras, PyTorch, and other libraries essential for AI.
10. Can I reschedule my sessions?
Yes, you can request rescheduling with advance notice as per availability.