Course Provider
What will you learn in this Artificial Intelligence Course?
- In the Master’s in Artificial Intelligence program, you'll gain a deep understanding of AI techniques and tools that are transforming industries.
- Starting with foundational topics like Python programming and linear algebra, the course progresses to more advanced areas like neural networks, deep learning, and reinforcement learning. You’ll learn to develop models using frameworks such as TensorFlow, Keras, and PyTorch.
- Specialized courses will cover natural language processing (NLP), enabling machines to understand and generate human language, as well as computer vision, allowing AI to interpret visual data.
- The program includes hands-on projects where you'll build AI solutions for real-world applications like autonomous systems, chatbots, and recommendation engines. Ethical considerations and AI governance will also be part of the curriculum.
- By the end, you will be prepared to work in roles such as AI engineer, machine learning expert, or AI research scientist in diverse industries.
Master’s in Artificial Intelligence
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Skill Type
Emerging Tech -
Domain
Artificial Intelligence -
Course Category
Deepskilling Course -
Certificate Earned Joint Co-Branded Participation Certificate -
Nasscom assessment Coming Soon -
Course Covered under GoI Incentive
No -
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Course Price
INR 42,000+ 18% GST -
Course Duration
170 Hours
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Why should you take this Artificial Intelligence Course?
- A Master’s in Artificial Intelligence is ideal for those looking to become a leader in the transformative field of AI, which is rapidly shaping industries from healthcare and finance to robotics and autonomous systems.
- This course provides you with cutting-edge skills in neural networks, deep learning, and natural language processing, enabling you to build intelligent systems capable of performing tasks that traditionally require human intelligence.
- With companies increasingly integrating AI for automation, personalized experiences, and data-driven insights, there is a massive demand for AI specialists.
- The program also focuses on ethical considerations and AI governance, preparing you to handle the complexities of real-world applications.
- A career in AI offers vast opportunities for innovation, creativity, and impact, whether as an AI engineer, machine learning expert, or AI researcher.
- With AI at the forefront of technological advancement, this degree promises long-term relevance, high earning potential, and global career opportunities.
Who should take this Artificial Intelligence Course?
- This course is ideal for professionals and graduates in business, finance, marketing, or IT looking to enhance their decision-making skills through data.
- Anyone interested in leveraging data-driven insights for business optimization and aspiring to become a data analyst or business analyst should enroll.
Curriculum
- The Master’s in Artificial Intelligence curriculum is designed to build expertise in advanced AI techniques and their real-world applications. It begins with foundational courses like Introduction to AI and Python Programming, followed by a deep dive into Mathematics for AI, covering linear algebra, calculus, probability, and optimization algorithms.
- You will explore Machine Learning concepts, focusing on algorithms like regression, decision trees, and clustering, along with tools like Scikit-learn and PyTorch. The course then progresses into Deep Learning, where you’ll work with neural networks, CNNs, RNNs, and GANs using frameworks such as TensorFlow and Keras.
- Natural Language Processing (NLP) is another key area, covering text processing, sentiment analysis, and language models. Computer Vision, which focuses on image recognition, object detection, and video analysis, is included as well. You’ll also study Reinforcement Learning to develop autonomous systems capable of decision-making.
- The program emphasizes ethical AI practices and governance in the AI Ethics module. Finally, you’ll complete a Capstone Project, where you create and deploy an AI solution, whether in healthcare, finance, or robotics, applying AI techniques to solve real-world problems.
Tools you will learn in this Artificial Intelligence Course
You will work with AI-specific tools like –
- TensorFlow
- Keras
- PyTorch for deep learning
- Scikit-learn for machine learning algorithms
- OpenCV for computer vision
- NLTK or spaCy for natural language processing.
- Python will be the primary programming language throughout the course.
FAQs
A background in mathematics, statistics, or computer science is helpful, but our programs provide foundational courses, making them accessible to beginners with strong analytical skills and a willingness to learn.
Most Master’s programs take 6 months to complete, depending on your pace, the course structure, and whether you're studying part-time or full-time.
Graduates can pursue roles such as Data Analyst, Data Scientist, Machine Learning Engineer, AI Engineer, Business Analyst, and Consultant across various industries like finance, healthcare, e-commerce, and tech.
No programming experience is not needed for these courses.
Yes, this program includes hands-on projects and capstone assignments, allowing you to apply learned skills to real-world datasets and industry-specific problems.
A background in mathematics, statistics, or computer science is helpful, but our programs provide foundational courses, making them accessible to beginners with strong analytical skills and a willingness to learn.
Most Master’s programs take 6 months to complete, depending on your pace, the course structure, and whether you're studying part-time or full-time.
Graduates can pursue roles such as Data Analyst, Data Scientist, Machine Learning Engineer, AI Engineer, Business Analyst, and Consultant across various industries like finance, healthcare, e-commerce, and tech.
No programming experience is not needed for these courses.
Yes, this program includes hands-on projects and capstone assignments, allowing you to apply learned skills to real-world datasets and industry-specific problems."