Deep Learning Course
Learn neural networks, CNNs, RNNs, and advanced architectures. Hands-on projects designed to prepare you for roles in computer vision and NLP.
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Skills you'll gain in Deep Learning Specialization course
Perks of the Program
Deep Learning Program Overview
The Deep Learning Specialization explores the core of neural networks, including MLPs, CNNs, RNNs, LSTMs, GRUs, and attention mechanisms. You'll gain a deep understanding of training techniques, optimization strategies, regularization, and transfer learning, with projects in computer vision and natural language domains.
Ideal for professionals targeting DL and AI research roles, this course offers extensive hands-on experience with PyTorch, TensorFlow, and real-world datasets.
Who Is This Program For?
Aspiring Data Scientists
Aspirational candidates with zero experience who are willing to jumpstart their careers in data science with machine learning.
Recent Graduates
Anyone who wants to get acquainted with machine learning and data science as a software developer.
Career Changers
People who are looking to switch career paths for an AI and machine learning career.
Tech Professionals
Data analysts who wish to superimpose data science with machine learning into their career.
Data Enthusiasts
Line managers who wish to learn more about the opportunities that exists in AI and data science with an application of machine learning for the improvement of their teams.
Future Managers
Future managers willing to deepen their knowledge in the field of AI and machine learning.
Course Learning Objectives in Deep Learning Specialization Course
Industry recognized training Certificate
Upon completing our course, you will receive an industry-recognized training certificate, one of its biggest benefits. Use it to seek your fair share of a salary rise and demonstrate your newly acquired competence to your employer!
What Sets Us Apart?
| Feature | Our Program | Other Courses |
|---|---|---|
| Expert-Led Sessions | ✔ 24 weeks of instruction from top-tier professionals with industry experience | ✘ Often lack guidance from seasoned experts, relying on less experienced instructors |
| Flexible Learning Options | ✔ Accessible 24/7 with over 150 hours of on-demand content | ✘ Limited accessibility and rigid learning schedules |
| Practical Assessments | ✔ 15 practical assessments for hands-on practice | ✘ Minimal practical exposure and hands-on opportunities |
| Real-World Assignments | ✔ Engage in 14+ real-world assignments directly linked to industry challenges | ✘ Minimal practical exposure and hands-on opportunities |
| Live Doubt-Clearing Sessions | ✔ 11 live sessions with experts for doubt resolution | ✘ Limited opportunities for real-time support and query resolution |
| Capstone Projects | ✔ 2-3 capstone projects applying skills to real-world problems | ✘ Few or no chances to work on substantial, real-world projects |
| Live Interviews | ✔ 5 mock interviews to prepare you for the real world | ✘ Lack of structured live interview preparation |
| Mock Interviews | ✔ 10 mock interviews to prepare for real job scenarios | ✘ Lack of structured mock interview preparation |
| Career and Placement Support | ✔ Comprehensive support for job placements, including resume reviews and salary negotiation tips | ✘ Often lack continuous support for career advancement and placement |
Hiring Partners
MLOps Course Fees
One-Time Payment with Placement Assurance.
- Refund up to 70% if not placed within 10 months (maximum refund ₹52,499).
Additional Benefits:
- Job Assistance: Full support until you secure a role.
- Real-World Projects: Work on industry-grade use cases.
- Comprehensive Curriculum: Includes CI/CD pipelines, Docker, MLflow, Ray, and cloud deployment tools like SageMaker and Vertex AI.
One-time Payment
₹74,999
Testimonials of our Successful Learners
What our learners have to say
"I acquired extensive knowledge in essential AI techniques, including ANN, CNNs, and GANs, etc. from this Deep Learning specialization course. The real-time project training and practical assignments were instrumental in applying complex concepts to real-world scenarios. With the support of personalized 1:1 sessions and comprehensive placement assistance, transitioning to a data scientist role was seamless. This course is highly valuable for anyone serious about advancing in the field of AI."
Aarav Patel
Data Scientist
"Immersing myself in this deep learning specialization course was a profound experience. The curriculum’s detailed focus on CNNs, RNNs, and NLP provided a strong foundation for tackling advanced projects. Practical applications and hands-on projects ensured the skills gained were directly applicable to industry challenges. Coupled with effective placement support, the Deep learning course facilitated a smooth entry into a machine learning engineer position. Highly recommended for those aiming to excel in AI."
Riya Sharma
Machine Learning Engineer
"Mastery of deep learning techniques became achievable through this Deep learning specialization course. The curriculum’s thorough exploration of CNNs and sequence models equipped me with the expertise needed for research roles. Engaging with practical assignments and real-time projects enhanced my understanding and application of advanced concepts. With excellent placement support and 1:1 sessions, this course prepared me effectively for an AI researcher position. It’s an excellent choice for aspiring professionals in AI."
Rajesh Kumar
AI Researcher
"The structured approach to learning deep neural networks, sequence models, and reinforcement learning provided a comprehensive skill set for handling complex data. Real-time project training and robust placement assistance were key factors in my career progression. This course is a strong recommendation for those looking to deepen their expertise in AI."
Ananya Singh
AI Developer
"An extensive and practical learning journey was offered through this deep learning specialization course. The advanced topics covered, including GANs and NLP, prepared me well for roles in software engineering. Hands-on projects and real-world applications played a crucial role in mastering the concepts. The effective placement assistance and 1:1 sessions made the transition to an AI-focused career smooth. For anyone seeking to enhance their AI skills, this course is highly valuable."
Vikram Desai
Software Engineer
"Expertise in AI techniques was significantly enhanced by participating in this deep learning specialization course. Learning from ANN basics to advanced reinforcement learning provided a well-rounded skill set. The course’s focus on real-time projects and practical applications ensured that knowledge was applicable to industry needs. Effective placement support and 1:1 sessions contributed to a successful career shift to an AI developer role. Highly recommended for those aiming for advanced proficiency in AI."
Sneha Verma
AI Developer
Frequently Asked Questions
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