Address
Level 8/25 Restwell Street, Bankstown NSW 2200, Australia
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Monday to Friday: 10AM - 6PM
Weekend: CLOSED
AI+ Data Agent™
USD$195.00 (GST excl.)
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
Overview
- 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 enroll
- 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.
Why this certification matters
- 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.
Learning Modules
7 modules
01Module 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
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
02Module 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
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
03Module 3: Data Collection and Acquisition for AI Data Agents
3.1 Steps in AI Data Collection Structure & Plan
3.2 Methods of Data Collection
3.2 Methods of Data Collection
04Module 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
4.2 Feature Engineering for AI Models
4.3 No-Code AI Data Agent for Preprocessing & Feature Engineering
05Module 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
5.2 Model Selection and Training
5.3 Hands on: No-Code AI and Machine Learning Models for Data Agents
06Module 6: Ethics, Security, and Privacy in AI Data Agents
6.1 Ethical Considerations in AI Data Agents
6.2 Security and Privacy Concerns
6.2 Security and Privacy Concerns
07Module 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
7.2 Practical Implementation
7.3 Evaluation and Optimization
7.4 No-Code AI and Machine Learning Models for Data Agents
Tools Covered
Python
TensorFlow
PyTorch
Scikit-learn
Keras
LangChain
Hugging Face Transformers
Jupyter Notebooks
Power BI
Tableau
Pandas
NumPy
SQL
Apache Spark
Airflow
DataBricks
RESTful APIs
Matplotlib
Data Visualization & Automation Tools
| Format | Online, self-paced |
|---|---|
| Duration | Instructor-Led: 1 day (live or virtual) |
| Exam | 50 questions, 70% passing, 90 minutes, online proctored exam |
| Included | Instructor-led OR Self-paced course + Official exam + Digital badge |
| 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. |
| Delivery | Projects & case studies |
| Outcome | Industry-recognized credential + hands-on experience |
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