8 Sections
26 Lessons
4 Weeks
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Module 1 - Getting Started With AI
2
1.1
Module 1.1 Introduction To AI
1.2
Module 1.2 Understanding The Types of AI
Module 2 - Programming Lanaguages, Tools and Platforms For AI Solutions
4
2.1
Module 2.1 AI and Programming Languages
2.2
Module 2.2 AI, Machine Learning and Deep Learning
2.3
Module 2.3 AI Models
2.4
Module 2.4 AI Services in the Cloud
Module 3 - Data Science Fundamentals for AI
3
3.1
Module 3.1 Introduction to Data Science
3.2
Module 3.2 Data Preparation Techniques
3.3
Module 3.3 Exploratory Data Analysis (EDA)
Module 4 - AI In the Modern Workplace
5
4.1
Module 4.1 AI In The Workplace
4.2
Module 4.2 Data Analysis and Business Intelligence AI Tools
4.3
Module 4.3 Automation and Workflow Management Tools
4.4
Module 4.4 Natural Language Processing (NLP) Tools
4.5
Module 4.5 Virtual Assistants and Chatbots
Module 5 - Ethical AI and Future Trends
4
5.1
Module 5.1 Understanding Bias, Fairness, Privacy, and Security
5.2
Module 5.2 Impact of AI on Jobs and Society
5.3
Module 5.3 Emerging Trends in AI
5.4
Module 5.4 AI Governance and Regulation
Module 6 - Monumental Leaps Forward With AI
4
6.1
Module 6.1 AI for Social Good
6.2
Module 6.2 AI in Creative Industries
6.3
Module 6.3 AI in Cybersecurity
6.4
Module 6.4 AI in Smart Cities and Infrastructure
Module 7 - AI Project Lifecycle Management
3
7.1
Module 7.1 AI Project Lifecycle Management
7.2
Module 7.2 Development and Implementation
7.3
Module 7.3 Maintenance, Evaluation, and Scaling
Module 8 - AI Fundamentals Course Closeout
1
8.1
Module 8.1 Course Closeout
AI Fundamentals – Getting Started With Artificial Intelligence
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