AI Engineer Roadmap – Full Syllabus (Step-by-Step, 100% Humanized)
Total Duration: 6–8 Months (Full Roadmap)
Stage 1: Strong Foundations – Build the Brain First
Duration: 1.5 Months
1.1 Programming with Python (Must-Have Tool)
- Why Python is the king of AI
- Variables, Data Types, Functions
- Loops, Conditions, Lists, Dictionaries
- File handling and error management
- Practice: Build a calculator, weather app
1.2 Math for AI (Don’t worry, made simple)
- Linear Algebra: Vectors, Matrices, Dot Products
- Probability: Basic concepts, Bayes Theorem
- Statistics: Mean, Median, Mode, Variance
- Calculus basics: Derivatives & Gradients
- Visual explanation using Graphs
- Practice: Build a data simulator in Python
Stage 2: Data Handling & Visualization – Talk to the Data
Duration: 1 Month
2.1 Data Wrangling & Analysis
- Using Pandas and NumPy
- Handling missing, duplicate, and messy data
- Feature engineering (Turning raw data into gold)
2.2 Data Visualization
- Tools: Matplotlib, Seaborn, Plotly
- Charts that tell stories: Bar, Line, Heatmap, Box, Pairplot
- Dashboard building basics
2.3 Mini Projects
- Sales data analysis
- Visualizing population growth
- COVID data trends dashboard
Stage 3: Machine Learning – Make the Machine Learn
Duration: 1.5 Months
3.1 ML Basics (Super easy intro)
- Supervised vs Unsupervised Learning
- ML lifecycle: Problem → Data → Model → Prediction
- Data splitting: Training & Testing
3.2 Algorithms You Must Know
- Linear & Logistic Regression
- Decision Trees & Random Forest
- K-Nearest Neighbors (KNN)
- Support Vector Machines (SVM)
- K-Means Clustering
- Model evaluation: Accuracy, Confusion Matrix, AUC
3.3 Hands-On Projects
- Spam email detector
- Predict house prices
- Customer churn prediction
Stage 4: Deep Learning – Teach Machines to Think Deeper
Duration: 1.5 Months
4.1 Neural Networks Basics
- What is a neuron?
- Layers, Activation functions
- Forward & Backward propagation
- Loss functions
4.2 Deep Learning Frameworks
- TensorFlow (Basic to Intermediate)
- Keras (High-level magic)
4.3 Key Models
- CNN (Convolutional Neural Networks) – For images
- RNN & LSTM (Recurrent Networks) – For text & sequences
- Transfer Learning: Use pre-trained brainpower
4.4 Projects
- Digit recognition (MNIST)
- Face mask detector
- Sentiment analysis with RNN
Stage 5: Natural Language Processing (NLP) – Make AI Understand Language
Duration: 1 Month
5.1 NLP Essentials
- Text cleaning: Tokenization, Stemming, Lemmatization
- Vectorization: Bag of Words, TF-IDF
5.2 Modern NLP
- Word Embeddings (Word2Vec, GloVe)
- Transformers (BERT intro level)
- Hugging Face basics
5.3 NLP Projects
- Chatbot using Python
- Resume parser using NLP
- Text summarizer with Transformers
Stage 6: Computer Vision – Make AI See the World
Duration: 1 Month
6.1 Basics of Image Processing
- What are pixels and channels?
- OpenCV and Pillow libraries
6.2 Advanced Vision
- CNN Deep Dive
- Image classification, object detection
- YOLO basics
6.3 Vision Projects
- AI-based attendance system (face recognition)
- Traffic sign detection
- Real-time object detection
Stage 7: Deployment & MLOps – Put Your AI into the Real World
Duration: 1 Month
7.1 Model Deployment
- Saving/loading models (Pickle, Joblib)
- Streamlit for building AI apps
- Flask API for backend deployment
7.2 MLOps Basics
- What is MLOps?
- Model versioning
- Git + CI/CD pipelines
7.3 Projects
- Deploy house price predictor online
- Streamlit chatbot for customer support
Stage 8: AI Ethics, Bias & Responsible AI
Duration: 1 Week
- What is AI bias? How it affects real people
- Explainability & fairness in AI models
- Ethical frameworks (EU guidelines, Google’s AI Principles)
- AI and human rights
Stage 9: Portfolio, Resume & Interview Prep
🕐 Duration: 2 Weeks
- Building your GitHub portfolio
- Structuring your AI projects for recruiters
- Resume writing for AI roles
- Mock interview practice (technical + behavioral)
- Freelancing tips & job platforms
Stage 10: Capstone Projects
Duration: 2–3 Weeks
Choose any 1 or 2 big projects:
- AI Personal Assistant (Text + Voice)
- Health prediction model
- AI Career counselor chatbot
- AI + IoT based security system
