AI Career Accelerator
Instructor: Andrew
Enroll for free
Start from Nov 18
4 modules
Gain insight into a topic and learn the fundamentals.
(42,567 reviews)
Beginner Level
No prior experience required
Flexible schedule
Gain insight into a topic and learn the fundamentals.
97%
Most learners liked this course
4.5
Skills you’ll gain
Master ML foundations with linear algebra, statistics, regression, classification, clustering, and hands-on model building using Scikit-Learn, TensorFlow, and PyTorch.
Analyze and prepare data effectively through EDA with Matplotlib/Seaborn/Plotly and advanced feature engineering to enhance model performance.
Build intelligent, scalable workflows by integrating AI/ML into traditional ETL pipelines and designing robust training/testing systems that avoid data leakage.
Deploy and optimize models professionally using MLOps best practices, CI/CD, monitoring, drift detection—while exploring deep learning applications in NLP, CV, and modern LLMs.
Shareable certificate
Add to your LinkedIn profile
Assessments
4 assignments
Taught in English
Audio description in existing audio
Closed caption
31 languages available
Multiple Platform
Access on mobile and TV
There are 4 modules in this course
Introduction to ML/AI for Data Engineers
Module 1
1 hour to complete
-
Overview of ML/AI Concepts
-
Mapping Data Engineering to ML
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Course Roadmap & Expectations
-
Weekly Mini Project
Fundamentals of ML, Linear Algebra and Statistics
Module 2
1 hour to complete
-
ML Basics & Common Algorithms
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Linear Algebra Essentials
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Statistics & Hypothesis Testing
-
Integration and Wrap-up
EDA for ML
Module 3
1 hour to complete
-
Data Visualization Techniques
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Statistical Summaries & Descriptive Analytics
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Outlier Detection & Data Quality Assessment
Feature Engineering for ML
Module 4
1 hour to complete
-
Feature Extraction Techniques
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Automated Feature Engineering Tools
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Practical Feature Engineering Applications
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Weekly Mini Project
Data Pipelines for ML
Module 5
1 hour to complete
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Designing ETL/ELT Processes for ML
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Advanced Data Cleaning & Transformation
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Integrating Real-Time Data Flows
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Weekly Mini Project
Model Selection & Algorithm overview
Module 6
1 hour to complete
-
Model Selection & Algorithm Overview
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Hands-On Model Training
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Best Practices in Training
Instructor
Instructor ratings
4.5
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(42,567 reviews)
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Andrew
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Why people choose Coursera for their career
4.5
42,567 reviews
5 Stars
81.84%
4 Stars
15.28%
3 Stars
1.77%
2 Stars
0.24%
1 Stars
0.28%
Clvin Lim
Learner since 2020
Sierracorp AI was truly a game-changer and a great guide for me as we bought Dimensional to life.
Dlvin Lim
Learner since 2020
Sierracorp AI was truly a game-changer and a great guide for me as we bought Dimensional to life.
Zlvin Lim
Learner since 2020
When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go.
Klvin Lim
Learner since 2020
When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go.
Mlvin Lim
Learner since 2020
I directly applied the concepts and skills I learned from my courses to an exciting new project at work.
Alvin Lim
Learner since 2020
I directly applied the concepts and skills I learned from my courses to an exciting new project at work.
Choose the right plan for your needs
ML AI Technical
$599
MLAI Technical, ML Ops, Generative AI and Agentic AI
Valid for 3 months
Behavioral Interview Prep
$199
Ace soft skills & storytelling
Valid for 3 months
Professional Resume Writing
$199
Get a job-ready ATS compatible resume, LinkedIn Profile Recommendations
Valid for 3 months
AI Career Accelerator ProgramFullPackage
$999
✔ ML Technical + ML Ops Track + Gen AI + Agentic AI ($599) ✔ Behavioral Interview Prep ($199) ✔ Professional Resume Writing ($199) ✔ FULL Program ($999) – End-to-end career support (Best value!)
Valid for 3 months