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Course Highlights

  • Artificial Intelligence (AI) is transforming industries by enabling systems to learn from data, automate processes, and support intelligent decision-making. This program is designed in alignment with industry standards and the Nasscom FutureSkills framework to build foundational and applied AI competencies.
  • The course follows a structured, outcome-based approach covering key areas such as Python programming, machine learning, data handling, and basic deep learning concepts. Learners will gain hands-on experience through real-world datasets, case studies, and project-based learning.
  • The program emphasizes practical implementation, problem-solving, and understanding AI applications across domains. Upon completion, learners will be equipped with essential skills required for entry-level roles in Artificial Intelligence and related fields.

  • Skill Type

  • Course Duration

  • Domain

  • GOI Incentive applicable

  • Course Category

  • Nasscom Assessment

  • Placement Assistance

  • Certificate Earned

  • Badge Earned

  • Content Alignment Type

  • NOS Details

  • Mode of Delivery

Course Details

Learning Objectives

What will you learn in the Artificial Intelligence Course?

  • Understand core concepts of Artificial Intelligence and Machine Learning
  • Learn Python programming for AI applications
  • Work with data preprocessing and feature engineering techniques
  • Build basic machine learning models
  • Understand supervised and unsupervised learning methods
  • Gain exposure to deep learning fundamentals
  • Apply AI concepts to real-world business scenarios
  • Interpret model outputs and insights
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Reasons to enrol

Why should you take the Artificial Intelligence Course?

  • Growing demand for AI professionals across industries
  • Industry-aligned curriculum based on Nasscom framework
  • Hands-on learning with real-world datasets
  • Exposure to machine learning and AI concepts
  • Practical training through projects and case studies
  • Suitable for beginners and working professionals
  • Builds strong foundation for advanced AI and data science roles
  • Enhances career opportunities in emerging technologies
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Ideal Participants

Who should take the Artificial Intelligence Course?

  • Fresh graduates interested in AI careers
  • Job seekers aiming for IT and data roles
  • Working professionals looking to upskill
  • Non-IT candidates interested in AI and automation
  • Students from engineering, science, or commerce backgrounds
  • Individuals interested in data-driven technologies
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Curriculum

Curriculum

  • Module 1 - Introduction
  • Module 2 - Python Foundation for AI/ML
  • Module 3 - Mathematics For Machine Learning
  • Module 4 - Machine Learning – Supervised Learning
  • Module 5 - Machine Learning – Unsupervised Learning
  • Module 6 - Advanced Machine Learning
  • Module 7 - Core Artificial Intelligence
  • Module 8 - Deep Learning
  • Module 9 - Natural Language Processing (NLP)
  • Module 10 - Computer Vision (Advanced)
  • Module 11 - Model Deployment & MLOps
  • Module 12 - AI Tools & Frameworks
  • Module 13 - AI Ethics & Responsible AI
  • Module 14 - AI & ML Projects
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skills and tools

Tools you will learn in the Artificial Intelligence Course

  • Python
  • Machine Learning Algorithms
  • Data Preprocessing Techniques
  • Basic Deep Learning Concepts
  • NumPy, Pandas
  • Data Visualization
  • AI Model Building
  • Problem-Solving Techniques
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