Machine Learning & AI Career Accelerator (IBM Track)
Already working with data? Learn how to build predictive models, apply machine learning, and transition into high-demand AI and data science roles.
Build Machine Learning Skills That Power Real-World Decisions
Level: Intermediate
Prerequisite: Basic Python + data analytics knowledge
Duration: 12–16 weeks (Cohort-Based)
Format: Live + Hands-On Labs + Guided Projects
Powered by: IBM via Coursera
Certification: IBM Machine Learning Professional Certificate
Start Date: [Insert Next Cohort Date]
Seats: Limited to 20 learners
By the end of this program, you will:
Build machine learning models (regression, classification)
Apply supervised & unsupervised learning techniques
Evaluate and improve model performance
Work with real datasets using Python (Scikit-learn, Pandas)
Translate models into business insights and decisions
Python (Pandas, NumPy, Scikit-learn)
Jupyter Notebooks
Data visualization libraries
ML workflows & pipelines
Predictive models
Machine learning pipelines
Data science notebooks
Portfolio-ready ML project
Weeks 1–3: Machine Learning Foundations
ML concepts & workflows
Data preprocessing & feature engineering
Understanding model types
Weeks 4–7: Supervised Learning
Regression models
Classification algorithms
Model evaluation (accuracy, precision, recall)
Weeks 8–10: Unsupervised Learning
Clustering techniques
Pattern detection
Dimensionality reduction
Weeks 11–13: Model Optimization
Hyperparameter tuning
Improving model performance
Avoiding overfitting
Weeks 14–16: Capstone Project
Solve a real-world prediction problem
Build a complete ML model
Present insights like a data professional
This program prepares you for:
Machine Learning Analyst
Data Scientist (Entry-Level)
AI / Analytics Specialist
Predictive Analytics roles
Premium Career Accelerator
KES
Apply Now — Limited Seats for Advanced Cohort
Guided Programs. Cohort Training. Enterprise Training
Learn concepts. Build skills. Apply to your Job/ business. Grow sustainably
Step 1: Learn
Access practical, market-relevant training designed for real-world application.
Step 2: Apply
Work on real challenges, case studies, and tools that translate learning into action.
Step 3: Grow
Leverage skills to unlock opportunities—employment, enterprise growth, and partnerships.
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Send us an email: partners@urgeskillup.com
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