Deep Learning Courses provide tutorials based on deep learning fundamentals, principles, and tools. Deep Learning is a part of machine learning that uses artificial intelligence and neural networks for the deep understanding and mastery of large datasets in a way to train machines to mimic human brains. It is used for problem-solving at numerous levels such as image recognition, translation of languages, speech recognition, NLP or natural language processing, etc.
As interesting as it sounds, deep learning specialization involves the use of multiple layered neural networks to facilitate understanding by the system. Let us learn about some of the best deep learning courses and how you can master these specializations for a career kickstart in 2025.
Understanding Deep Learning
Deep Learning is an advanced artificial intelligence method used to recognize complex patterns in large datasets of images, texts, and audio or a mix of two or more of these to interpret data, identify patterns, and make suitable decisions. It can be understood as an advanced array of artificial neural networks that “deeply” learn from datasets for enhanced response efficiency, much similar to a human brain.
Artificial neural networks are based on the human brain (neuro: brain). It is used for problem-solving such as transcription, NLP, speech recognition, translation, etc. Their prominence is growing day by day as the incorporation of artificial intelligence grows almost in every field.
Deep learning models are used in numerous other ways. Some places where deep learning models are used include text messages or warnings against credit card fraud, digital assistants on mobile, and automatic cars.
Deep Learning Specializations to Master in 2025
Machine Learning and Deep Learning both come under Artificial Intelligence. Machine learning is a broader term encompassing several AI techniques and models. One of these techniques is deep learning. There are several specializations in deep learning models. These include:
Deep Reinforcement Learning
Deep Reinforcement Learning is used in playing games and robotics. It incorporates teaching an agent to behave based on its environment interaction via reward and punishment method.
Recurrent Neural Networks (RNNs)
Recurrent neural networks are deep learning techniques used for NLP (natural language processing) and speech recognition. They are used for contextual understanding of phrases, translation, and text generation.
Convolutional Neural Networks (CNNs)
Convolutional neural networks are such deep learning techniques used in the identification, processing, and recognition of clear or partially distorted images.
Command on Deep Learning with Certification Courses
Here is a quick overview of some of the most remarkable Deep Learning courses for a promising career ahead!
|
Master Deep Learning Courses for a Career Kickstart in 2025 |
||
| DL Course Name | DL Instructor | DL Course Fee |
| 1. Generative AI, Data Science, Machine Learning Programme | Physics Wallah
(PW Skills) |
INR 35,000 |
| 2. Machine Learning and Deep Learning Certification Programme | IIT Delhi | INR 1,69,000 + GST |
| 3. Artificial Intelligence and Machine Learning Master Certification Degree | IIT Kanpur | INR 8,00,000 |
| 4. Deep Learning for Artificial Intelligence (AI) | Carnegie Mellon University | USD 2000 |
| 5. Deep Learning and Reinforcement Learning | IBM ML Professional Certificate
(On Coursera) |
Free |
| 6. Deep Learning A-Z Certification Course | K. Eremenko, H.D. Ponteves, Ligency Team and Super Data Science Team
(On Udemy) |
INR 599 |
Let us know more about these courses to master deep learning algorithms for a secure career in 2025!
1. Generative Artificial Intelligence (AI), Data Science and Machine Learning Certification Programme by PW Skills
The Generative Artificial Intelligence (AI), Machine Learning (ML) and Data Science certification programme is offered by Physics Wallah under PW Skills and comes with PW lab practice and placement assistance. The course covers essential tools such as Python, ChatGPT, flask, NumPy, DALL-E 2, and more. A command of these tools and techniques helps boost deep learning understanding.
PW AI and ML Deep Learning Course Fee: INR 20,000
Mode of the Course: Online
Deep Learning Course Duration: Self-Paced
2. Machine Learning and Deep Learning (Certification) Programme by IIT Delhi
The Institute of Information Technology (IIT) Delhi offers a certification program in growing transformative and new technologies like machine learning and deep learning from professionals with practical applications.
The course focuses on the mastery of ChatGPT, training, and building customized neural networks with TensorFlows and Keras, mathematics for Machine Learning, Python, data processing, and other industry-related tools like NumPy and pandas, etc.
IIT Delhi Deep Learning Courses Fee: INR 1,69,000
Mode of the Course: Online (Live 10:00 am to 12:00 pm on Saturdays and Sundays)
Deep Learning Course Duration: 6 months (76 hours of live sessions)
ML and DL Course Eligibility: Courses such as BE, B.Tech, ME, MTech, BIT, MIT, BCA, MCA, or MCM in any stream,
or,
BSc, MSc, BS or MS in Mathematics, Statistics, Electronics, Physics, Computer Science, Artificial Intelligence or Data Science
3. Master’s Degree in Artificial Intelligence and Machine Learning with Certificate by IIT Kanpur
The Institute of Information Technology (IIT) Kanpur offers a master’s programme for working professionals with five core modules and seven other elective models.
The core models include classes on data analytics, linear algebra, machine learning, and deep learning fundamentals. Elective modules include topics such as machine learning for audio processing, computer vision, natural language processing, reinforcement learning, and more.
IIT Kanpur Deep Learning Course Fee: INR 8,00,000
Mode of the Course: Online
Deep Learning Course Duration: Self-Paced
AI and ML Course Eligibility: Four years Bachelor’s Programme or a Masters Degree in Computer Science, Information Technology, MCA, etc. with at least 5.5 out of 10 CPI or 55%. Besides, a two-year experience of work is needed.
4. Deep Learning for Artificial Intelligence (AI) by Carnegie Mellon University (School of Computer Science)
The CML School of Computer Science offers a Deep Learning certification course for learning to leverage neural networks, deep learning models, and their applications.
The course offers ten modules of enhanced learning on multilayer perceptrons, stochastic gradient descent, optimizers, convolutional neural networks or CNNs, recurrent neural networks (RNNs), sequence-to-sequence models, translation, attention, graph networks, autoencoders, generative adversarial networks and more with capstone projects for practice.
CMU School of CS Deep Learning Course Fee: USD 2000
Mode of the Course: Online
Deep Learning Course Duration: 10 weeks (10-15 hours per week) Self-Paced learning
Prerequisites: A knowledge of mathematical concepts such as linear algebra, calculus, statistics, and probability, and also, object-oriented programming languages such as Python.
5. Deep Learning and Reinforcement Learning Certification Course by IBM Machine Learning Professional Certificate
The IBM Machine Learning Professional Certificate program offers an intermediate-level deep learning course for free on the platform Coursera.
The course comprises nine modules that comprehensively cover fundamental topics such as machine learning, deep learning, artificial neural networks, reinforcement learning, Keras, transfer learning, convolutional neural networks (CNNs), neural network optimizers, and autoencoders.
IBM ML Professional Certificate Deep Learning Course Fee: Free
Mode of the Course: Online
Deep Learning Course Duration: (31 hours) Self-Paced Learning
6. Deep Learning Courses A-Z: Neural Networks, ChatGPT Prize and Artificial Intelligence (AI) Certification Course by K. Eremenko, H.D. Ponteves, Ligency Team and Super Data Science Team
Hadelin De Ponteves, Kirill Eremenko, the Super Data Science Team, and the Ligency Team offer a comprehensive deep learning course covering all its fundamentals and essentials from neural networks to AI models for only INR 599 on Udemy.
This detailed deep learning courses provides classes on artificial neural networks (ANNs), building ANNs and ANNs intuition, convolutional neural networks (CNNs), building CNNs and CNNs intuition, recurrent neural networks (RNNs), building RNNs, RNNs intuition, evaluation and improvement, self-organizing maps (SOM), SOMs intuition, Boltzmann machines, their intuition and building Boltzmann machines, autoencoders, their building and intuition, regression, logic regression, data preprocessing, and data preprocessing in Python.
Udemy DL A-Z Deep Learning Course Fee: INR 599
Mode of the Course: Online
Deep Learning Course Duration: (22 hours and 35 minutes) Self-Paced Learning
Learn Data Science with PW Skills
Master Machine Learning algorithms and Data Science techniques with the Data Science and Generative AI Course by PW Skills. Learn crucial tools, programming techniques, generative AI models, and important libraries and frameworks of Python.
Enrol in this transformative data science course and boost your productivity in data science and artificial intelligence with latest industry curriculum, real-world projects, practice exercise, etc.
Deep Learning Courses FAQ
Q1. What is Deep Learning?
Ans: Deep learning is an artificial intelligence method and comes under machine learning. It involves training systems to comprehend large datasets to mimic a human brain for problem-solving like image recognition, speech recognition, speech-to-text transcription and translation.
Q2. Does Deep Learning help build a good career?
Ans: Yes. Deep learning is a contemporary growing artificial intelligence skill that offers numerous career opportunities. Deep learning offers several roles such as AI researcher, AI scientist, data engineer, NLP (natural language programming) scientist, software engineer, robotics engineer, gaming engineer, statistician, data analyst, etc.
Q3. Which is CNN in deep learning?
Ans: CNN stands for Convolutional Neural Networks. These are artificial neural networks under deep learning used for image classification and recognition.
Q4. Can I learn Deep Learning by myself?
Ans: Yes. One can learn deep learning by oneself by enrolling in either free or paid courses available on sites or YouTube etc. and practising on a personal computer. Research the deep learning specialization and techniques you want to master, learn about them and practise a lot.
