AI+ Data™ - eLearning (exam included)

AI+ Data™ - eLearning (exam included)

The AI+ Data Certification provides a comprehensive learning journey, equipping professionals with core data science skills. It covers foundational topics like statistics, programming, and data wrangling, progressing to advanced modules in generative AI and Machine Learning (ML). The program emphasizes data-driven decision-making and storytelling to strengthen both analytical and communication abilities.

Through hands-on capstone projects and personalized mentorship, learners gain practical experience applying data science techniques to real-world challenges. By combining theory with exercises in Python, R, and cutting-edge technologies, this certification prepares professionals to excel in data science, driving innovation and informed decision-making within their organizations.

Unlock Data-Driven Innovation with AI

• Core Knowledge: Foundations in Data Science, Python, Statistics, and Data Wrangling
• Advanced Learning: Explore Generative AI, Machine Learning, and Predictive Analytics
• Capstone Project: Apply AI to real-world challenges, such as predicting employee attrition
• Career Preparation: Gain practical skills for AI-focused data science roles with guided mentorship

Why This Certification Matters

• High Demand for Experts: Companies need certified professionals who can turn complex data into actionable insights while maintaining privacy and integrity.

• Minimizing Data & AI Risks: Proper handling of data and AI prevents errors and business risks, which this certification addresses.

• Crafting AI-Driven Strategies: Certified professionals design data strategies that enhance performance and comply with regulations.

• Career Growth: As AI-driven data solutions grow critical, this certification gives a competitive advantage for career advancement.

Industry Growth: Driving Data-Driven Innovation Across Sectors

• Market Growth: Global AI data science market projected to grow at a CAGR of 37.4% from 2023 to 2030 (Grand View Research).
• Industry Transformation: AI-powered analytics is revolutionizing finance, marketing, retail, and other sectors.
• Real-Time Insights: Organizations increasingly use AI for predictive insights and real-time data analysis.
• Automation & Efficiency: AI-driven automation streamlines workflows and improves operational efficiency.
• Enhanced Decision-Making: Sectors like e-commerce, supply chain, and customer service leverage AI for smarter, data-driven decisions.

Key Features

• Course and material in English 
• Beginner-Intermediate level  (Category: AI+ Technical)
• 1 year access to the platform 24/7
• 40 hours of video lessons & multimedia resources

• 50 hours of study time recommendation 
• Quizzes, Assessments, and Course Resources
• Online Proctored Exam with One Free Retake

• Certification of completion included valid for 1 year

• Virtual Hands-on Lab included
• Tools You’ll Master: Google Colab, MLflow, Alteryx, KNIME

Learning Outcomes

• Advanced Data Analysis: Develop skills to clean, preprocess, and analyze data using statistical and exploratory methods to extract meaningful insights.
• Generative AI & Machine Learning: Utilize AI tools and machine learning algorithms to generate insights and create predictive models.
• Programming & ML Skills: Strengthen proficiency in Python and R, applying them to both basic and advanced machine learning tasks.
• Data Storytelling & Decision-Making: Learn to communicate data effectively and make well-informed, data-driven business decisions.

Target Audience

• Data Analysts & Scientists: Apply AI for predictive modeling and smarter decisions.
• Business Intelligence Professionals: Use AI to extract insights from complex data.
• IT Specialists & Integrators: Implement AI solutions for optimized data management.
• Data Engineers: Build scalable AI-driven data pipelines and architectures.
• Students & Graduates: Gain AI and data science skills for a data-driven career.

Prerequisites

• Fundamental understanding of computer science and statistics (helpful but not required).
• Strong interest in data analysis.
• Openness to learning programming languages like Python and R.

Exam Details

• Duration: 90 minutes
• Passing :70% (35/50)
• Format: 50 multiple-choice/multiple-response questions
• Delivery Method: Online via proctored exam platform (flexible scheduling)
• Language: English

Course Content

Module 1: Foundations of Data Science

1.1 Introduction to Data Science

1.2 Data Science Life Cycle

1.3 Applications of Data Science

Module 2: Foundations of Statistics

2.1 Basic Concepts of Statistics

2.2 Probability Theory

2.3 Statistical Inference

Module 3: Data Sources and Types

3.1 Types of Data

3.2 Data Sources

3.3 Data Storage Technologies

Module 4: Programming Skills for Data Science

4.1 Introduction to Python for Data Science

4.2 Introduction to R for Data Science

Module 5: Data Wrangling and Preprocessing

5.1 Data Imputation Techniques

5.2 Handling Outliers and Data Transformation

Module 6: Exploratory Data Analysis (EDA)

6.1 Introduction to EDA

6.2 Data Visualization

Module 7: Generative AI Tools for Deriving Insights

7.1 Introduction to Generative AI Tools

7.2 Applications of Generative AI

Module 8: Machine Learning

8.1 Introduction to Supervised Learning Algorithms

8.2 Introduction to Unsupervised Learning

8.3 Different Algorithms for Clustering

8.4 Association Rule Learning with Implementation

Module 9: Advance Machine Learning

9.1 Ensemble Learning Techniques

9.2 Dimensionality Reduction

9.3 Advanced Optimization Techniques

Module 10: Data-Driven Decision-Making

10.1 Introduction to Data-Driven Decision Making

10.2 Open Source Tools for Data-Driven Decision Making

10.3 Deriving Data-Driven Insights from Sales Dataset

Module 11: Data Storytelling

11.1 Understanding the Power of Data Storytelling

11.2 Identifying Use Cases and Business Relevance

11.3 Crafting Compelling Narratives

11.4 Visualizing Data for Impact

Module 12: Capstone Project - Employee Attrition Prediction

12.1 Project Introduction and Problem Statement

12.2 Data Collection and Preparation

12.3 Data Analysis and Modeling

12.4 Data Storytelling and Presentation

Optional Module: AI Agents for Data Analysis

1. Understanding AI Agents
2. Case Studies
3. Hands-On Practice with AI Agents

Licensing and accreditation

This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements. 

Equity Policy

AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.

FAQ

What are the key components of the AI+ Data™ certification?
The certification covers core topics like Data Science fundamentals, Statistics, Programming, and Data Wrangling, along with advanced modules in Generative AI and Machine Learning.

How does this certification prepare participants for data challenges?
It equips learners with the skills and tools to tackle complex data tasks, including data cleaning, transformation, and analysis.

What career opportunities are available after completing this certification?
Graduates can pursue roles such as Data Scientist, Machine Learning Engineer, Data Analyst, AI Consultant, and other data-focused positions.

What skills will I gain from this certification?
Participants will develop expertise in data analysis, machine learning, predictive analytics, data visualization, and data wrangling, along with proficiency in Python and R.

Recertification Requirements
AI+ Technical courses require recertification every year to keep your certification valid. Notifications will be sent three months before the due date

How Can AVC Help Foster an AI-Ready Culture?
While AI offers significant advantages, many organizations struggle with challenges like talent gaps, complex data environments, and system integration barriers. At AVC, we understand these obstacles and have tailored our certification programs to help businesses overcome them effectively.

Our strategic approach focuses on building a culture that embraces AI adoption and innovation. Through our industry-recognized certifications and in-depth training, we equip your workforce with the skills and knowledge needed to lead your organization confidently into an AI-powered future.

Customized for Impact: Our programs aren't one-size-fits-all. We offer specialized training designed by industry experts to equip your workforce with the specific skills and knowledge needed for critical AI roles.

Practical, Real-World Learning: We prioritize hands-on experience over theory, using real-world projects and case studies. This approach ensures your team gains the confidence and capability to implement AI solutions effectively, driving innovation and measurable business outcomes.