learn Artificial Intelligence
6 months
(3 hours/day)
44 students/ class
₹ 45,000
(Books are included)
course syallabus
Introduction
Artificial Intelligence (AI) is the simulation of human intelligence
in machines that are programmed to think, learn, and solve problems
autonomously. This course provides a comprehensive overview of AI concepts,
tools, and applications. Participants will explore machine learning, natural
language processing (NLP), computer vision, and robotics while learning how
to design, build, and deploy AI-powered solutions.
AI is transforming industries such as healthcare, finance, manufacturing, and
retail by automating processes and improving decision-making. This course combines
theoretical foundations with practical, hands-on projects to prepare learners for
real-world challenges. By mastering AI frameworks like TensorFlow, PyTorch, and
scikit-learn, participants will gain the skills needed to contribute to this rapidly
growing field.
Objectives
After this course student will be able to:
- Understand the fundamentals of Artificial Intelligence and its applications.
- Learn key concepts like supervised, unsupervised, and reinforcement learning.
- Explore machine learning algorithms and their practical uses.
- Gain expertise in NLP for language-based AI solutions.
- Master computer vision techniques for image recognition and processing.
- Work with AI frameworks like TensorFlow and PyTorch.
- Learn to deploy AI models into production environments.
- Analyze ethical considerations and challenges in AI development.
- Build AI-powered applications for real-world use cases.
- Collaborate on projects to solve complex business problems using AI.
Certification
Participants will receive an Artificial Intelligence Professional Certification upon successfully completing the course, assignments, and capstone project. This certification is recognized globally and adds value to resumes for AI-related roles.
Who can apply for this course?
- Fresh graduates aspiring for a career in AI or machine learning.
- Software developers and engineers looking to specialize in AI.
- Data scientists who want to expand their skills into AI.
- Researchers and academics working on AI-related projects.
- Business professionals interested in AI-driven innovation.
- Students and enthusiasts passionate about the future of AI.
Training Methodology
- Instructor-Led Sessions: Live classes covering AI concepts and tools.
- Practical Exercises: Hands-on coding with Python and AI libraries.
- Case Studies: Industry-specific examples of AI applications.
- Tool Training: In-depth tutorials on TensorFlow, PyTorch, and OpenCV.
- Assessments: Quizzes, coding challenges, and regular feedback.
- Capstone Project: Build and deploy an AI solution for a real-world problem.
- Collaborative Learning: Group projects and peer discussions.
- Support: Access to mentors and an online community of AI professionals.
