Generative AI Course - Japan

Generative AI Certification Training Course Outline

Module 1: Introduction to Generative AI

• GANs Fundamentals  
• Types of Generative AI Models
• Ethical Considerations for using AI
• Synthetic Data Generation
• Applications of Generative AI in Different Industries
• Generative AI in Business

Module 2: Generative AI in Software Development

• Code Generation Techniques
  • Code-to-code Synthesis
  • Natural Language to Code
• Automated Software Testing and Test Case Generation
• Version Control and Collaborative Coding
• Automated Bug Detection and Real-time Code Translation
• Successful Projects Integrating Generative AI for Efficiency

Module 3: Generative AI in Cybersecurity

• Malware Detection and Behavioural Analysis Using Generative AI
• Intrusion Detection and Real-time Threat Detection Models
• Network Security and Anomaly Detection
• Adversarial Attacks and Defences in Generative AI-Based Security
• Predictive Modeling for Cybersecurity Incidents
• Ethical Hacking and Vulnerability Analysis with Generative AI

Module 4: Generative AI in Business and Marketing

• Personalised Marketing and Recommendation Systems
• Customer Segmentation and Targeted Marketing Campaigns
• Content Creation and Creative Marketing
• A/B Testing and Marketing Optimisation
• Sentiment Analysis and Brand Perception

Module 5: Generative AI in Prompt Engineering

• Language Modeling Techniques and Custom Model Training
• Fine-Tuning Models for Prompt Engineering
• Creative Writing and Storytelling with Generative AI
• Content Summarisation and Abstraction Techniques
• Evaluating and Optimising Prompt Engineering Models
• Impact of Generative AI

Module 6: Generative AI in Project Management

• Project Planning and Scheduling Optimisation
• Resource Allocation and Workload Balancing
• Risk Assessment and Mitigation Strategies
• Project Progress Tracking and Predictive Analytics
• Task Automation and Efficiency Improvements with Generative AI

Module 7: Generative AI for Business Analyst

• Data Synthesis and Analysis Techniques Using Generative AI
• Pattern Recognition, Trend Analysis, and Predictive Modelling
• Decision Support Systems Development
• Business Insights Extraction from Large Datasets
• Evaluating and Communicating Analytical Results Effectively

Module 8: Generative AI for Cloud Professional

• Cloud Resource Provisioning and Management Optimisation
• Automated Scaling, Load Balancing, and Resource Optimisation
• Security and Compliance Enforcement in Cloud Environments
• Anomaly Detection and Threat Monitoring Using Generative AI
• Dynamic Adaptation to Changing Cloud Demands with Generative AI

Module 9: Generative AI for Data Analyst

• Data Generation and Augmentation Techniques
• Predictive Analytics, Forecasting, and Trend Prediction
• Exploratory Data Analysis Using Generative AI Models
• Feature Engineering and Data Preprocessing Automation

Module 10: Generative AI for Operations

• Supply Chain Optimisation and Demand Forecasting
• Predictive Maintenance, Fault Detection, and Root Cause Analysis
• Process Automation and Efficiency Improvements
• Inventory Management and Production Scheduling Optimisation
• Monitoring and Adaptive Operations Strategies