Who is this for?
Graduates, developers and analysts who want to build a career in AI/ML and data science.
Syllabus
1. Python for Data (12 h)
- Python basics, functions, OOP essentials
- NumPy arrays and vectorization
- Pandas: cleaning, joins, groupby
- Visualization with Matplotlib/Seaborn
- Hands-on: Exploratory analysis of a real dataset
2. SQL and Data Handling (6 h)
- SQL queries, joins, aggregation
- Reading data from files, APIs and databases
- Hands-on: SQL practice set
3. Statistics and Probability (8 h)
- Descriptive statistics and distributions
- Probability and Bayes' rule
- Hypothesis testing and confidence intervals
- Correlation and A/B testing
- Hands-on: Statistical analysis assignment
4. Maths for ML (Applied) (4 h)
- Linear algebra intuition
- Gradients and optimization
5. Machine Learning: Supervised (14 h)
- Linear and logistic regression
- Decision trees, random forests, boosting
- SVM and k-NN
- Bias-variance, cross-validation, tuning
- Metrics for regression and classification
- Hands-on: Predict house prices and customer churn
6. Machine Learning: Unsupervised and Feature Engineering (8 h)
- Clustering (k-means, hierarchical)
- PCA and dimensionality reduction
- Feature engineering and pipelines
- Handling imbalanced data
- Hands-on: Customer segmentation
7. Deep Learning (12 h)
- Neural networks and back-propagation
- TensorFlow/Keras workflows
- CNNs for image classification
- RNN/LSTM basics
- Hands-on: Image classifier
8. Natural Language Processing (8 h)
- Text preprocessing and TF-IDF
- Embeddings and transformers overview
- Sentiment and text classification
- Hands-on: Sentiment analysis app
9. Generative AI and LLMs (8 h)
- LLM concepts, tokens and prompting
- Using LLM APIs
- RAG basics and vector search
- Responsible AI
- Hands-on: Document Q&A prototype
10. Model Deployment and MLOps Basics (6 h)
- Saving models, FastAPI/Flask serving
- Git, virtual environments, Docker basics
- Deploying to the cloud
- Hands-on: Deploy a model API
11. Capstone and Career Preparation (10 h)
- Capstone project build and review
- Portfolio and GitHub
- Resume and mock interviews
- Hands-on: Capstone
After this course you will be able to
- Write Python for data analysis
- Apply statistics and probability to data problems
- Build, evaluate and tune machine-learning models
- Build neural networks for vision and language tasks
- Use LLM APIs and build simple generative AI apps
- Deploy a model as an API and present projects
Tools & topics
PythonNumPyPandasMatplotlib/SeabornScikit-learnTensorFlow/KerasJupyterGitFastAPI
Projects
- Customer churn prediction
- Image classifier
- Document Q&A (RAG) prototype
- Capstone project
Assessment
Assignments per module, mid-course test and capstone evaluation.
What is included
- Live instructor-led online sessions
- Hands-on labs and assignments
- Session recordings after each class
- Doubt-solving support
- Course completion certificate
- Small interactive batches
- Unpaid internship opportunities
- Session recordings after each class
- Small interactive batches
- Unpaid internship opportunities for practical exposure
Your trainer
Pratiksha
Trainer: Python, AI/ML & Full-Stack
Pratiksha teaches the way good developers learn: by building. With a Computer Science degree, a full-stack background in Java and Spring Boot, and real projects behind her, including a college web platform, an event management system and an online exam app, she now leads our Python and AI/ML batches and teaches across our full-stack programs. Expect clear explanations, live coding, and projects that end up in your portfolio.
- B.E. in Computer Science & Engineering
- Leads our Python and AI/ML batches
- Full-stack background: Java, Spring Boot, MySQL, React and Angular
- Certified Full Stack Java Developer and SQL Fundamentals
- Published in international research journals
What our AI & Machine Learning with Python students say
FAQ
Can a beginner join AI & Machine Learning with Python?
Basic programming logic helps. Python is taught from scratch.
Will there be a free demo?
Yes. Book a free demo, attend the live session and decide after you have seen how we teach.
Do you guarantee a job after this course?
No. We do not make guaranteed-placement claims. We train you to be capable, help with resume and career guidance, and offer unpaid internship opportunities.
What is the fee and batch schedule?
Our counselor shares the current fee and batch details. Book a free demo or WhatsApp +91-9156091020.
Not sure which course is right for you?
Talk to our counselor. It is free, and we will tell you honestly whether a course fits your goals.