Course Overview
Empower businesses with AI + Data Agent™ to unlock insights, automate analytics, and drive smarter decisions.
- Empowering the Future with AI+ Data Agent: Shaping Smarter Decision-Makers
- Beginner-Friendly Certification: Perfect entry point to understand data-driven AI concepts and automation tools
- Comprehensive Foundation: Explores AI data handling, analytics, and real-world business insights
- Open to All: Designed for learners with curiosity about using data and AI for smarter outcomes
Who should attend
- Data Professionals: Ideal for data analysts, engineers, and scientists looking to enhance their expertise with AI-driven automation.
- Business Strategists: Perfect for professionals aiming to leverage data intelligence for informed and strategic decision-making.
- AI Enthusiasts: Designed for learners passionate about integrating AI with data management and intelligent systems.
- Tech Innovators: Suited for individuals exploring automation, predictive analytics, and autonomous data solutions.
- Aspiring Leaders: Ideal for professionals seeking to lead AI transformation initiatives and drive data-driven innovation within their organizations.
Prerequisites
Basic understanding of data management, analytics, and automation, with interest in AI-driven analysis and intelligent agent design. Ideal for learners seeking hands-on experience, industry recognition, and future-ready expertise in data systems, analytics, and autonomous technologies.
Course Objectives
- Comprehensive Skill Development Master AI-driven data analysis, automation, and intelligent agent design for real-world business applications.
- Industry Recognition Earn a globally recognized certification that validates your expertise in AI-powered data management and analytics.
- Hands-On Learning Engage in practical projects that simulate real data environments, enhancing problem-solving and analytical decision-making skills.
- Career Advancement Open doors to roles in data engineering, AI analytics, and intelligent automation across multiple industries.
- Future-Ready Expertise Stay ahead in the evolving AI landscape with cutting-edge knowledge of data agents and autonomous systems.
Course Content
Module 1: Introduction to AI Agents
- 1.1 What is an AI Agent?
- 1.2 Components of AI Agents
- 1.3 Types of AI Agents
- 1.4 Hands on: No-Code AI and Machine Learning Models for Data Agents
Module 2: Data Agents and Their Role in AI Systems
- 2.1 AI Data Agents
- 2.2 AI vs. AI Data Agent
- 2.3 Components of AI Data Agents
- 2.4 Types of AI Data Agents
- 2.5 Existing AI Data Agents in Trend
Module 3: Data Collection and Acquisition for AI Data Agents
- 3.1 Steps in AI Data Collection Structure & Plan
- 3.2 Methods of Data Collection
Module 4: Data Pre-processing and Feature Engineering
- 4.1 Data Cleaning and Transformation
- 4.2 Feature Engineering for AI Models
- 4.3 No-Code AI Data Agent for Preprocessing & Feature Engineering
Module 5: AI and Machine Learning Models for Data Agents
- 5.1 Introduction to Machine Learning Models for Data Agents
- 5.2 Model Selection and Training
- 5.3 Hands on: No-Code AI and Machine Learning Models for Data Agents
Module 6: Ethics, Security, and Privacy in AI Data Agents
- 6.1 Ethical Considerations in AI Data Agents
- 6.2 Security and Privacy Concerns
Module 7: Capstone Project
- 7.1 Problem Statement
- 7.2 Practical Implementation
- 7.3 Evaluation and Optimization
- 7.4 No-Code AI and Machine Learning Models for Data Agents