Popular Roles in AI
Data Analyst
Turns raw data into insights with dashboards and reports.
SQLExcelTableauPython
ML Engineer
Builds and deploys ML models in production systems.
PythonScikit-learnTensorFlow/PyTorchAPIs
Data Scientist
Explores data, prototypes models, and communicates results to stakeholders.
StatsEDAMLStorytelling
MLOps Engineer
Automates training, deployment, and monitoring of ML systems.
CI/CDDockerCloudMonitoring
AI Ethics/Policy
Focuses on fairness, transparency, and compliance.
PolicyRiskAuditing
NLP/ CV Specialist
Builds models for language or vision—chatbots, OCR, detection.
TransformersCNN/ViTDatasets
Skill Roadmaps (Beginner → Job-Ready)
Core Foundations
- Python basics (lists, dicts, functions), Git & GitHub
- Math essentials: algebra, statistics, probability
- Data wrangling with pandas; visualization (Matplotlib)
ML Essentials
- Model types: regression, classification, clustering
- Model evaluation: train/val/test, metrics, cross-validation
- Feature engineering, overfitting, regularization
Deep Learning
- Neural networks, CNNs, RNNs, Transformers (intro)
- Transfer learning; fine-tuning pretrained models
- Compute basics: GPUs, batching, optimization
Production & MLOps
- APIs, containers (Docker), CI/CD
- Monitoring, data/ concept drift, retraining
- Security & privacy best practices
Build a Hiring-Ready Portfolio
Starter Projects
- Spam classifier (text)
- House price predictor (tabular)
- Digit recognizer (vision)
Real-World Projects
- Support ticket triage (NLP)
- Store demand forecasting (time series)
- Defect detection (computer vision)
Showcase Tips
- Clean README with problem, data, metrics, demo GIF
- Host a live demo (Streamlit/Gradio)
- Write a short blog post per project