Internal Capacity Building Program 2.0
Completed by Dulari Bhatt on June 16, 2025
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About this Badge
This learning path is part of the Internal Capacity Building Program 2.0, designed to equip participants with a strong understanding of cutting-edge technologies in Artificial Intelligence. The primary focus of this program is Generative AI, one of the most transformative and trending areas in the tech industry today. By completing the courses in this learning path, you will gain valuable insights and practical knowledge that will empower you to navigate and contribute to the evolving AI.
Learning objectives
- Implement and optimize generative AI models for NLP tasks using PyTorch, including document classification and language translation.
- Apply prompt engineering techniques and data visualization methods to enhance Large Language Model performance and NLP tasks.
- Deploy generative AI technologies to improve ESG practices, including data analysis and risk assessment, while understanding the intersection of AI and sustainability.
- Utilize pre-trained models and transfer learning for image classification and object detection, and explore generative AI applications across various domains.
Skills learned
- Artificial Intelligence and Machine Learning (AI/ML)
- Machine Learning Methods
- Applied Machine Learning
- Artificial Neural Networks
- Regulation and Legal Compliance
- Natural Language Processing
- Box Plots
- Scatter Plots
- Text Mining
- Generative AI
- Application Deployment
- Artificial Intelligence
- Sustainability Reporting
- Corporate Sustainability
- Stakeholder Engagement
- IBM Cloud
- User Feedback
- Environmental Resource Management
- Application Performance Management
- Computer Vision
- Reinforcement Learning
- Performance Tuning
- Product Lifecycle Management
- Compliance Reporting
- Python Programming
- Deep Learning
- Image Analysis
- Feature Engineering
- Data Visualization Software
- Machine Learning
- Software Installation
- Data Ethics
- ChatGPT
- Histogram
- OpenAI
- Tensorflow
- Scalability
- Computer Programming
- Development Environment
- Product Development
- Data Analysis
- PyTorch (Machine Learning Library)
- Augmented and Virtual Reality (AR/VR)
- Environmental Social And Corporate Governance (ESG)
- Keras (Neural Network Library)
- Enterprise Risk Management (ERM)
- Plot (Graphics)
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Learning content completed
Some of the content and skills presented have been contributed by the content provider.