AutoML Courses and Certifications

Coursera

Advanced Machine Learning Techniques

Implement bagging, boosting and stacking, reduce dimensions with PCA, t-SNE and UMAP, build NLP and reinforcement learning models, and automate tuning with AutoML and MLflow.

• Coursera
• 5 weeks, 7 hours a week
• Self-Paced
• Paid Course

Coursera

Solving ML Regression Problems with AWS AutoGluon

Train several machine learning regression models with AutoGluon, the AutoML library behind AWS SageMaker Autopilot, prototyping powerful models in a few lines of code.

• Coursera
• 1 hour 54 minutes
• Self-Paced
• Paid Course

Whizlabs

Azure ML: Deploying, Managing, and Experimenting with Models

Deploy and manage machine learning models in Azure ML by registering and logging MLflow models, configuring managed online endpoints, applying Blue-Green deployments, and evaluating Responsible AI dashboards.

• Coursera
• 2 weeks, 4 hours a week
• Self-Paced
• Paid Course

Forecasting and Predictive Modeling

Build statistical and ML revenue forecasts with Power BI and Azure AutoML: set confidence intervals, calculate MAPE, read feature importance, and document forecast packs.

• Coursera
• 9 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

Image Classification on Autopilot with AWS AutoGluon

Train several deep neural network models to classify images with AutoGluon, the automated library behind AWS SageMaker Autopilot, using only a few lines of code.

• Coursera
• 1 hour 46 minutes
• Self-Paced
• Paid Course

Edureka Career Certificate

No-Code Data Science and Machine Learning

Build machine learning without writing code: create data workflows in KNIME, train and tune regression and classification models in Orange, and deploy AutoML models on Google Vertex AI.

• Coursera
• 8 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 3 courses

H2O.ai

Data Science and Machine Learning H2O.ai Platforms

Use H2O's toolset to prepare and visualize data, automate model building with Driverless AI, deploy models, and explore generative AI with h2oGPT and Enterprise GPTe.

• Coursera
• 1 hour 12 minutes
• Self-Paced
• Paid Course

H2O.ai

H2O Gen AI Ecosystem Overview - Level 1

Build custom GPT models with h2oGPT and H2O LLM Studio, prepare data with LLM DataStudio, evaluate models with EvalGPT, and deploy AI web apps via GenAI AppStudio.

• Coursera
• 9 weeks, 1 hour a week
• Self-Paced
• Paid Course

H2O.ai

H2O Driverless AI Starter Course

Apply AutoML with H2O Driverless AI: set up the environment, import and explore data, run experiments, hyper-tune models, interpret results, and build custom recipes.

• Coursera
• 2 hours 29 minutes
• Self-Paced
• Paid Course

H2O.ai

H2O Gen AI Ecosystem Overview - Level 2

Explore H2O's GenAI platform in depth: data preparation techniques, advanced model training, deployment strategies, and real-time monitoring across the ecosystem's tools and applications.

• Coursera
• 1 hour 11 minutes
• Self-Paced
• Paid Course

H2O.ai

H2O Wave Starter Course

Build browser-based AI apps with H2O Wave in Python: set up the environment, deploy to H2O AI Cloud, add a GPTe-powered YouTube chatbot, publish to the Gen App Store.

• Coursera
• 54 minutes
• Self-Paced
• Paid Course

H2O.ai

H2O Cloud AI Developer Services

Explore H2O Cloud AI services to build, automate and share AI solutions: AutoML on tabular data, Hydrogen Torch language and vision models, Label Genie labeling, and code assistants.

• Coursera
• 57 minutes
• Self-Paced
• Paid Course

Coursera

Databricks Machine Learning Quickstart

Track experiments with MLflow, analyze AutoML results to select a candidate model, and deploy monitored serving endpoints with access controls in a Databricks workspace.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Whizlabs

Google Cloud Operations, Security & AI

Build Google Cloud solutions using streaming pipelines, Database Migration Service, IAM, and observability, then integrate Speech, Vision, Translate, and machine learning services.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

H2O.ai

The AI Lifecycle with the H2O.ai Platform

Follow the AI lifecycle across H2O.ai: AutoML in Driverless AI, SHAP and LIME explainability, MLOps deployment and drift monitoring, and h2oGPTe RAG, guardrails, and agents.

• Coursera
• 1 hour
• Self-Paced
• Paid Course