Professional Certificate in AI and Machine Learning

Master AI and machine learning with production-ready projects and mentor support.

Train and evaluate supervised and unsupervised models
Implement deep learning models with TensorFlow and PyTorch
Apply NLP and computer vision techniques to real datasets
Fine-tune LLMs and design safe prompting workflows
Deploy models with containers and basic MLOps pipelines
Present business impact narratives for AI initiatives

Professional Certificate in AI & Machine Learning

View Training Options

Group Enrollment with Friends or Colleagues | Get a quote

Professional Certificate in AI and Machine Learning

4.7Ratings(3,412)

20KLearners

Course Overview

A comprehensive program covering Python, deep learning, NLP, computer vision, and generative AI. Work on 12+ hands-on projects—from data pipelines to model deployment—and earn a professional certificate designed for ML engineer and AI engineer career paths.

Key Features

100% Money Back Guarantee

12+ hands-on projects across classification, NLP, CV, and GenAI
TensorFlow and PyTorch labs with GPU-backed notebooks

Benefits

AI and ML professionals are among the fastest-growing technical roles, with strong demand for production deployment skills—not just model training.

Designation

Annual Salary

Hiring Companies

$120,000

Min

$155,000

Average

$210,000

Max

Source: Glassdoor

Training Options

Online Bootcamp

Live instructor-led sessions with exam prep

PREFERRED

Live classes with industry-certified trainers
Flexible weekend and weekday batches
Peer learning groups and mentor office hours
Mock exams, capstone projects, and job-ready templates

Batch starting from:

Weekend Batch

2026-06-18

Weekday Batch

2026-06-25

Limited time offer

$3,499$4,999

Corporate Training

Custom programs for teams of 5+

Tailored curriculum aligned to your delivery methodology
Dedicated account manager and progress reporting
On-site, virtual, or blended delivery options
Volume pricing and flexible billing for enterprises

Course Curriculum

Eligibility

This intermediate program assumes comfort with programming and basic statistics. Structured refreshers are included for Python and linear algebra essentials.

Recommended background

— 6+ months of Python or similar programming experience
— Familiarity with basic statistics and linear algebra
— Comfort working in Jupyter or notebook environments

Also suitable for

— Software engineers transitioning into ML engineering
— Analysts expanding from BI into predictive modeling
— STEM graduates targeting AI engineer roles

Pre-requisites

You should be comfortable writing Python functions and working with data structures. Prior exposure to SQL or analytics helps but is not mandatory. Expect 10–12 hours per week for live sessions, projects, and capstone work over six months.

Course Content

Preview

Exam & Certification

This program awards a Hanux Professional Certificate based on project rubrics and capstone review rather than a single vendor exam.