Master top AI & ML tools to analyze data, build models, and deploy smart applications. Get hands-on experience with industry-leading frameworks.
A beginner-friendly language for AI and data science with strong library support
A key library for numerical computing and data manipulation
Helps efficiently clean, transform, and analyze real-world datasets
Enables data visualization to interpret trends and insights
Simplifies statistical data visualization with professional charts
Enables data visualization to interpret trends and insights
Supports scalable deep learning and AI model deployment
A research-friendly framework for deep learning experimentation
Powers AI chatbots and automation
Offers advanced tools for scientific computing and optimization
Helps create AI-powered applications using large language models
Teaches how to deploy machine learning models as web APIs
Develops and fine-tunes ML models and algorithms for real-world applications. Works with large datasets, feature engineering, model training, and deployment using frameworks like Scikit-learn, TensorFlow, or PyTorch.
Focuses on cutting-edge AI advancements, designing new algorithms, models, and AI architectures. Often works in academia, research labs, or tech companies exploring AI innovations.
Works with text and speech-based AI models, including chatbots, sentiment analysis, language translation, and speech recognition using NLP libraries like spaCy, NLTK, and Hugging Face Transformers.
Designs and implements end-to-end AI solutions for businesses, integrating AI models into enterprise systems while ensuring scalability, security, and performance.
Focuses on deploying, automating, and managing AI models in production. Works with CI/CD pipelines, cloud platforms (AWS, Azure, GCP), and MLOps to ensure scalability and reliability
Earn your AI certification from Krify and accelerate your career! Gain hands-on experience with cutting-edge technologies, making you ready for your career in AI, Data Science, and Machine Learning roles.