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AI+ Data™

#AT-120

AI+ Data™

Mastering AI, Maximizing Data: Your Path to Innovation

AI Data & Robotics · AI System Engineer · AI Technical · All Courses

Course Fee₹20,999One-time certification fee

Browse by specialization

About This AI Certification Course

Core Concepts Covered: Data Science foundations, Python, Statistics, and Data Wrangling

Advanced Topics: Dive into Generative AI, Machine Learning, and Predictive Analytics

Capstone Application: Solve real-world problems like employee attrition with AI

Career Readiness: Develop skills for AI-driven data science roles with hands-on mentorship

AI Certification Overview, Duration and Exam Details

Included

Instructor-led OR Self-paced course + Official exam + Digital badge

Duration

Instructor-Led: 5 days (live or virtual)
Self-Paced: 40 hours of content

Prerequisites

Basic knowledge of computer science and statistics, data analysis, fundamental AI/ML concepts, Python and R.

Exam Format

50 questions, 70% passing, 90 minutes, online proctored exam

AI Certification Modules and Learning Outcomes

Why This AI Certification Matters for Career Growth

Demand for Certified Experts:

Organizations seek certified experts who can transform complex data into actionable insights while ensuring data integrity and privacy.

Mitigating Data and AI Risks:

Poor handling of data and AI technologies can lead to inaccurate analysis and business risks. This certification helps professionals mitigate such challenges.

Designing AI-Driven Data Strategies:

Certified professionals play a crucial role in designing AI-driven data strategies that optimize performance and align with regulatory standards.

Career Advancement:

As AI-powered data solutions become essential for businesses, this certification provides professionals with a competitive edge in advancing their careers.

Who Should Enroll in This AI Certification

Data Analysts & Scientists: Enhance data analysis capabilities using AI for predictive modeling and decision-making.
Business Intelligence Professionals: Leverage AI to uncover insights, trends, and opportunities in complex data sets.
IT Specialists & System Integrators: Implement AI-powered solutions to optimize data management and infrastructure.
Data Engineers: Design and develop AI-driven data pipelines and architectures for scalable solutions.
Students & New Graduates: Build valuable AI and data science skills to thrive in an increasingly data-driven world.