IBM Watson Courses

Skills you'll gain: Feature Engineering, Model Deployment, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Model Training, Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Design Thinking, Market Opportunities, Data Science, Machine Learning, Python Programming

Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, Prompt Engineering Tools, Cyber Threat Intelligence, ChatGPT, Security Information and Event Management (SIEM), AI literacy, Multimodal Prompts, AI Security, Threat Modeling, AI powered creativity, LLM Application, Threat Detection, Cybersecurity, Incident Response, Artificial Intelligence and Machine Learning (AI/ML), Vulnerability Management, Incident Management

Skills you'll gain: AI Orchestration, AI Workflows, LangGraph, Agentic Workflows, LangChain, LLM Application, Tool Calling, Agentic systems, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Patterns, Retrieval-Augmented Generation, Prompt Engineering, AI Integrations, Application Development, Data Visualization, Responsible AI, Large Language Modeling, Risking

Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Autoencoders, Feature Engineering, Dimensionality Reduction, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science, Machine Learning, Python Programming

Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Retrieval-Augmented Generation, PyTorch (Machine Learning Library), Computer Vision, Unsupervised Learning, Generative Model Architectures, Prompt Patterns, Generative AI, PySpark, Model Optimization, Keras (Neural Network Library), Supervised Learning, LLM Application, Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science

Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, Prompt Engineering Tools, Exploratory Data Analysis, Generative Adversarial Networks (GANs), Data Ethics, ChatGPT, AI literacy, Multimodal Prompts, Feature Engineering, AI powered creativity, LLM Application, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Responsible AI, Data Science, Machine Learning