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Professional Certificate in AI and Machine Learning
⭐ 4.7•19.8K•6 Months
🗓Cohort starts: 16th Apr '269 Days Left
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AI & Machine Learning Courses
Master the future of technology with our AI and machine learning courses. Build neural networks, deploy models, and develop in-demand skills for AI Engineer and ML Engineer roles.
Top 3 AI & Machine Learning Courses for 2026
Ranked highest among 100+ programs based on learner ratings
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Key Skills You Will Build
The core capabilities you'll practice across AI & Machine Learning programs
Machine Learning AlgorithmsDeep LearningNatural Language ProcessingComputer VisionGenerative AILarge Language ModelsPrompt EngineeringModel Training and OptimizationReinforcement LearningAI Model DeploymentTensorFlow and PyTorchPython for AI
Browse AI & Machine Learning Courses
BestsellerProfessional Certificate in AI and Machine Learning
4.719.8K6 Months
Cohort starts: 16th Apr '269 Days Left
$4,999
$3,499
BestsellerAI & Machine Learning Overview
Who can enroll in AI & ML programs varies based on the following:
- Beginners with basic programming comfort can start with foundational Python and math refreshers.
- Working developers and analysts benefit from intermediate tracks focused on models and deployment.
- Advanced learners can specialize in deep learning, NLP, computer vision, or GenAI systems.
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Why Learners Choose Hanux Learning
Read what AI & Machine Learning learners say about their experience
in
David Park
Machine Learning Engineer
Meta
“The deep learning labs were the closest thing to my day job—training loops, debugging GPU jobs, and shipping a model behind an internal API. I moved from analytics into ML engineering within a year.”
in
Jessica Walsh
AI Engineer
“I needed stronger fundamentals on transformers and evaluation metrics. The projects were graded with real feedback, and I still reference the deployment checklist when we push models to production.”
Meet Your Mentors
Daniel Reeves
Former ML Engineer, Meta
Shipped ranking models at scale; teaches evaluation, pipelines, and responsible GenAI deployment.
Priya Shah
Senior ML Engineer, Google (alumni)
TensorFlow and NLP tooling; labs on reproducible experiments and feature stores.
Still Curious? Answers to Common AI & Machine Learning Courses Questions
No—tracks begin with Python and math refreshers for motivated learners.
- •Programming: Expect to code weekly; prior scripting helps.
Industry-standard tools for training and deployment.
- •TensorFlow & PyTorch: Model building and export patterns.
Practical prompting, retrieval, evaluation, and safety—not only demos.
- •RAG: Embeddings, chunking, and latency-aware retrieval.
Many tracks include packaging and endpoint labs.
- •Containers: Docker basics for repeatable training and inference.
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*All salary figures referenced are based on data reported by employees on Glassdoor. These figures are estimates and may vary depending on location, experience level, company policies, and market conditions. Actual compensation may differ.