AI+ Data™
- Description
- FAQ
- Reviews
Description
AT-120
40 hours (5 Days)
50 MCQs, 90 Minutes
70% (35/50)
About Certification
- 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
Prerequisites
- Basic knowledge of computer science and statistics (beneficial but not mandatory).
- Keen interest in data analysis.
- Willingness to learn programming languages such as Python and R.
What Will You Learn?
Advanced Data Analysis Techniques: Learners will acquire skills in managing, preprocessing, and analyzing data using statistical methods and exploratory techniques to uncover insights and patterns.
Programming and Machine Learning Proficiency: Students will develop strong programming skills necessary for data science, along with foundational and advanced machine learning techniques to build predictive models.
Application of Generative AI and Machine Learning: Learners will learn to employ generative AI tools and machine learning algorithms to derive deeper insights from data, enhancing their analytical capabilities.
Data-Driven Decision Making and Storytelling: Students who goes through this course will get the ability to make informed decisions based on data analysis and effectively communicate findings through compelling data storytelling.
Industry Opportunities
AI Data Scientist: Analyzes complex data to extract insights, builds predictive models, employs statistical methods, and communicates findings to influence decision-making.
AI Machine Learning Engineer: Designs and develops machine learning systems, implements algorithms, optimizes data pipelines, and integrates models into scalable, production-ready applications.
AI Engineer: Develops artificial intelligence solutions, programs neural networks, optimizes AI algorithms, ensures ethical AI deployment, and troubleshoots AI systems.
AI Data Analyst: Interprets data, generates reports, identifies trends, supports business decisions with actionable insights, and utilizes visualization tools to present data.
At a Glance Overview
| Program Name | AI+ Data™ |
|---|---|
| Included | Instructor-led OR Self-paced course + Official exam + Digital badge |
| Duration |
|
| 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 |
| Delivery | Online labs, projects, case studies |
| Outcome | Industry-recognized credential + hands-on experience |
Exam Blueprint
| Module | Line Item | Percentage |
|---|---|---|
| Foundations of Data Science | Foundations of Data Science – 5% | 5% |
| Foundations of Statistics | Foundations of Statistics – 5% | 5% |
| Data Sources and Types | Data Sources and Types – 6% | 6% |
| Programming Skills for Data Science | Programming Skills for Data Science – 10% | 10% |
| Data Wrangling and Preprocessing | Data Wrangling and Preprocessing – 10% | 10% |
| Exploratory Data Analysis | Exploratory Data Analysis – 12% | 12% |
| Generative AI Tools for Deriving Insights | Generative AI Tools for Deriving Insights – 6% | 6% |
| Machine Learning | Machine Learning – 10% | 10% |
| Advance Machine Learning | Advance Machine Learning – 10% | 10% |
| Data-Driven Decision-Making | Data-Driven Decision-Making – 10% | 10% |
| Data Storytelling | Data Storytelling – 6% | 6% |
| Capstone Project – Employee Attrition Prediction | Capstone Project – Employee Attrition Prediction – 10% | 10% |
Salary Insights
| Median Salary | $86,015 |
|---|---|
| With AI Skills | $145,407 |
| Difference (%) | 69 |
| Role Based Course Hours | 40 Hours |
