Course Outline
Introduction to Multimodal AI <\/p>
- Overview of multimodal AI and real-world applications <\/li>
- Challenges in integrating text, image, and audio data <\/li>
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State-of-the-art research and advancements
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Data Processing and Feature Engineering <\/p>
- Handling text, image, and audio datasets <\/li>
- Preprocessing techniques for multimodal learning <\/li>
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Feature extraction and data fusion strategies
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Building Multimodal Models with PyTorch and Hugging Face <\/p>
- Introduction to PyTorch for multimodal learning <\/li>
- Using Hugging Face Transformers for NLP and vision tasks <\/li>
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Combining different modalities in a unified AI model
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Implementing Speech, Vision, and Text Fusion <\/p>
- Integrating OpenAI Whisper for speech recognition <\/li>
- Applying DeepSeek-Vision for image processing <\/li>
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Fusion techniques for cross-modal learning
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Training and Optimizing Multimodal AI Models <\/p>
- Model training strategies for multimodal AI <\/li>
- Optimization techniques and hyperparameter tuning <\/li>
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Addressing bias and improving model generalization
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Deploying Multimodal AI in Real-World Applications <\/p>
- Exporting models for production use <\/li>
- Deploying AI models on cloud platforms <\/li>
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Performance monitoring and model maintenance
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Advanced Topics and Future Trends <\/p>
- Zero-shot and few-shot learning in multimodal AI <\/li>
- Ethical considerations and responsible AI development <\/li>
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Emerging trends in multimodal AI research
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Summary and Next Steps <\/p>
Requirements
- A solid grasp of machine learning and deep learning concepts <\/li>
- Practical experience with AI frameworks such as PyTorch or TensorFlow <\/li>
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Familiarity with processing text, image, and audio data
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Target Audience<\/strong> <\/p>
- AI developers <\/li>
- Machine learning engineers <\/li>
- Researchers <\/li> <\/ul>
Testimonials (1)
Our trainer, Yashank, was incredibly knowledgeable. He modified the curriculum to match what we truly needed to learn, and we had a great learning experience with him. His understanding of the domain he was teaching was impressive; he shared insights from real experience and helped us solve actual problems we were facing in our work.
