HURU School AI Department
- 6 days ago
Session 1: Introductions, Course Technologies Overview, and access to TinTin AI and LMS
Session 2: Overview of AI and Machine Learning.
Session 5: Exploring Transformers in Natural Language Processing.
Session 6: Coding in Natural Language Processing.
Session 9: Finetuning & RLHF(Reinforcement Learning from Human Feedback) // Vision Architectures for Executive Program
Session 10: Coding in Finetuning & RLHF
Session 16: Introduction to Advanced AI Tools (TensorFlow, PyTorch).
Session 17: Utilizing Cloud Platforms for AI Development.
Session 18: Optimizing AI Algorithms for Performance.
Session 22: Finalizing AI Project and Preparation for Presentation.
Session 23: Presentation of AI Projects to Peers and Instructors.
Session 24: Career Opportunities and Future Trends in AI.
Session 3: State of the Art in Artificial Intelligence
Session 4: Understanding State of the Art Machine Learning Models and Algorithms
Session 7: Exploring CNNs in Computer Vision
Session 8: Coding in Computer Vision
Session 13: AI in Healthcare.
Session 14: AI in Finance and Business.
Session 15: Ethical Considerations in AI.
Session 19: Project Briefing and Data Gathering.
Session 20: Developing AI Models for the Project.
Session 21: Analyzing and Refining AI Models.
ENROLL NOW to immerse yourself in the dynamic world of AI and Machine Learning. This course offers practical, hands-on experience with cutting-edge algorithms, including reinforcement learning, transformers, and RHLF, culminating in a real-life practical project that showcases your newfound skills in AI.