Explore options for Deep Learning Courses in Pune. As a major technology hub driving AI and data science innovations, this city hosts 10 institutes operating across 13 learning centres. Currently, there are 15 distinct Deep Learning courses available, covering everything from core neural network architectures to advanced computer vision, natural language processing (NLP), and generative AI models. Review detailed syllabus structures, hands-on lab offerings, and verifiable student feedback on CourseKhoj to evaluate the available learning environments and make an informed decision for your artificial intelligence and machine learning career.
Pune · Courses — at a glance
Advanced artificial intelligence course listed at 5 to 6 months, covering Python, SQL, machine learning, deep learning, generative AI, RAG, agentic AI and MLOps, with preparation for Microsoft AI-103 and AI-300.
6 months
Fee
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Thergaon, Pune
Participants will gain hands-on experience through real-world projects, case studies, and AI model development, preparing them for careers in the rapidly evolving AI industry.
Fee
₹40,950
Total course fee
Akurdi, Pune
Eight-week advanced AI course covering AI techniques for career progression.
2 months
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Shivaji Nagar, Pune
Fee
₹70,000
Total course fee
Kothrud, Pune
Artificial intelligence course covering deep learning and neural networks.
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Wakad, Pune
Artificial intelligence course covering deep learning and generative AI alongside machine learning.
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Kharadi, Pune
Computer vision course covering image processing, object detection, YOLO and OpenCV.
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Kharadi, Pune
Six-month data science course covering Python, machine learning and deep learning with live projects.
6 months
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FC Road, Pune
Deep learning course covering neural networks, CNNs, RNNs and transformers with PyTorch and TensorFlow.
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Kharadi, Pune
100% Live Interactive Mentorship with Capstone Projects Industry-Recognized Certification & Career Placement Guidance Lifetime Access to LMS, Code Notebooks & Recording Library
2 months
Fee
₹2,999
Total course fee
Akurdi, Pune
Machine learning course listed at 2 to 3 months, covering Python, SQL, statistics, machine learning, deep learning, predictive analytics, NLP and computer vision, with preparation for Microsoft AI-300.
3 months
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Thergaon, Pune
Natural language processing course covering text processing and language model techniques.
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Kharadi, Pune
Postgraduate programme in data science and machine learning with AI, covering Python, statistics, machine learning and data visualisation.
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FC Road, Pune
Python full stack course of 5–6 months combining core Python, MySQL, web programming, Flask and Django with data analysis, data science, machine learning and AI.
5 months
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FC Road, Pune
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Kharadi, Pune
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Generative AI, agentic AI and machine learning training
Deep Learning is a concept in the AI & Machine Learning domain.
Pune isn't just a city; it's a rite of passage for thousands of students across India. Known globally as the "Oxford of the East," Pune perfectly balances its rich Maratha heritage with a vibrant, modern youth culture. Whether you are looking to crack competitive exams, master the latest tech stack, or pursue a traditional degree, the city's educational ecosystem is built to turn aspirations into reality.
Common questions about this subject
IT aspirants and working professionals can choose from 10 institutes operating across 13 learning centres in Pune. You can directly compare 15 distinct Deep Learning Courses on CourseKhoj to evaluate the curriculum, learning modes, and fee structures that align with your professional artificial intelligence goals.
The training centres in this city typically provide structured preparation across multiple artificial intelligence tracks. Students can enroll in foundational neural network modules, or pursue comprehensive career programs that include advanced computer vision, natural language processing, generative AI, and model fine-tuning.
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Education Experties in Pune
Salary range across linked job roles
₹6.5L – ₹27L/ year
Based on 2 career paths
Yes, many training centres provide versatile learning formats. Aspirants can often choose between direct face-to-face classroom sessions in prominent IT hubs, live online classes, or hybrid learning models to find a study mode that seamlessly fits their daily university schedules or corporate shift timings.