Industry-Abridged Joint Certification Programme
Embark on an enriching journey into Artificial Intelligence and Machine Learning with this comprehensive course. Delve into the fundamentals of AI and ML, covering key concepts such as neural networks, algorithms, and data analysis. Explore hands-on implementation using popular frameworks like TensorFlow and PyTorch, mastering the art of creating intelligent systems. From understanding machine learning models to practical applications in real-world scenarios, this course equips you with the skills needed to navigate the dynamic field of AI. Elevate your career with proficiency in advanced technologies and become adept at developing intelligent solutions that redefine the future. Engage in this transformative AI/ML learning experience today.
Basic Knowledge of Statistics and Data Analysis
20 hours of self-paced interactive learning, including summative assessment and expert live interactions
At the end of the course, the student will be able to:
Acquire a strong base in statistics, Python scripting, and data analysis, applying measures like mean and standard deviation.
Differentiate between supervised and unsupervised learning, implement algorithms (linear regression, K-means, etc.), and explore Bayesian methods.
Build collaborative filtering recommender systems, use KNN, and understand dimensionality reduction for accurate predictions.
Handle big data using Apache Spark ML, address bias/variance, cross-validation, and data cleaning, and implement ML best practices.
Explore deep learning, neural networks, and TensorFlow, gaining hands-on experience with CNNs and RNNs, and conduct A/B testing with statistical rigor.
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