🔗 Link to Certification Progress/Results
Context and Objective
As part of my transition into Data Science, I am currently pursuing the IBM Professional Certificate in AI Engineering. This program focuses on applying AI and machine learning techniques to solve complex problems, covering areas such as deep learning, neural networks, and natural language processing.
My Role and Contribution
I am applying the knowledge gained in this certification to further develop my skills in implementing AI models and deploying them in real-world scenarios. As part of the coursework, I have worked on projects that simulate industry-level challenges such as text classification, image recognition, and chatbot development.
Results and Achievements
Successfully built and trained deep learning models with high accuracy rates, such as image classification models and NLP-based sentiment analysis tools. Developed hands-on expertise in using cloud services for AI deployment and scalability.
Challenges and Lessons Learned
One of the key challenges has been mastering the various deep learning architectures and fine-tuning hyperparameters for optimal performance. I have learned advanced model tuning techniques and gained valuable insights into the practical application of AI in various industries.