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Track 2

AI Developer Launchpad

Build a solid technical foundation in Python, machine learning, and applied AI to launch a career in data science or AI.

Duration
5-6 months
Courses
6
Format
Live Cohort

🎯 Ideal For

College Students
Career Switchers
Junior Developers
Aspiring Data Scientists
Technical Beginners

Course Curriculum

This track includes 6 comprehensive courses

Flexible Learning: You can take any course individually or complete the entire track to earn the Certified AI & Machine Learning Practitioner.

1

Python Programming for AI

Master Python fundamentals and AI libraries.

Key Topics:

  • Core Python: Variables, loops, data structures, functions, OOP
  • AI Libraries: NumPy, Pandas, Matplotlib
🚀
PROJECT / OUTCOME
Analyze and visualize a real-world dataset
2

Mathematics & Statistics for AI

Build mathematical foundations for machine learning.

Key Topics:

  • Core Concepts: Linear algebra, probability
  • Statistics: Hypothesis testing, distributions
  • Optimization: Gradient descent, cost functions
🚀
PROJECT / OUTCOME
Build a linear regression model from scratch
3

Data Analysis & Visualization

Master data workflows and storytelling with data.

Key Topics:

  • Data Workflow: Cleaning, feature engineering, EDA
  • Advanced Visualization: Seaborn, Plotly
  • Communication: Present insights effectively
🚀
PROJECT / OUTCOME
Comprehensive EDA on a complex dataset
4

Machine Learning Foundations

Learn core ML algorithms and model evaluation.

Key Topics:

  • Algorithms: Regression, Classification, Clustering
  • Model Training: Train/test splits, cross-validation
  • Metrics: Accuracy, precision, recall, F1-score, RMSE
  • Scikit-learn: Build models efficiently
🚀
PROJECT / OUTCOME
Build a predictive model (housing prices or churn)
5

Introduction to Deep Learning

Build neural networks and understand deep learning.

Key Topics:

  • Core Concepts: Neurons, layers, activation functions
  • Architectures: CNNs for images, RNNs for sequences
  • Frameworks: PyTorch or TensorFlow
🚀
PROJECT / OUTCOME
Build a handwritten digit recognizer or sentiment analyzer
6

Building Your AI Career & Portfolio

Create a professional portfolio and prepare for interviews.

Key Topics:

  • Version Control: Git & GitHub
  • Personal Branding: AI-focused resume and LinkedIn
  • Interview Prep: Technical questions practice
🚀
PROJECT / OUTCOME
Job-ready GitHub profile with 3+ documented projects
🏆

Complete the Track, Earn Your Certification

Finish all 6 courses in this track to receive:

Certified AI & Machine Learning Practitioner

This industry-recognized certification validates your skills and demonstrates your expertise in ai developer launchpad to employers and clients.

Note: Individual courses do not include certification. Complete the full track to earn your certificate.

What You'll Get

👥

Live Cohort Sessions

Learn with peers in scheduled live sessions with real-time interaction

💻

Hands-On Projects

Build real-world applications with expert guidance and feedback

💬

After-Class Discussion

Continue learning with dedicated Q&A and peer collaboration

📝

Expert Feedback

Receive personalized feedback on all your projects and assignments

Ready to Start Learning?

Enroll in individual courses or commit to the full track for certification

Enroll →