Basics of Programming
Variables, control flow, OOP and clean coding across the three most-used industry languages.
Tech you'll use
450+ hours of intensive practical training. Python, SQL, advanced ML, Deep Learning, NLP and MLOps โ taught and supervised by Data Scientists from Netflix, Nvidia, Deloitte and EY.
Students Placed
Hiring Partners
Highest Salary
Average Salary Hike
Faculty-led live sessions for Python, ML and Deep Learning with TA-supported lab projects.
Resume crafting, profile enhancement, mock interviews and 1:1 career counselling.
Strong DSA foundation plus Python, SQL, scikit-learn, TensorFlow, PyTorch, MLFlow and Hugging Face.
Real-world data competitions and hackathons that boost your portfolio.
Access to 500+ global hiring partners with placements at Nvidia, Netflix, EY, Deloitte and more.
Trusted track record across Data Analyst, Data Scientist, ML Engineer and AI Engineer roles.
Expected CTC
โน8 โ 24 LPA
Core ML, statistics & business impact
Expected CTC
โน10 โ 30 LPA
LLMs, RAG, agents & GenAI products
Expected CTC
โน5 โ 14 LPA
SQL, dashboards & analytics storytelling
Expected CTC
โน9 โ 26 LPA
Model training, evaluation & deployment
Expected CTC
โน6 โ 16 LPA
Insights, decisions & product analytics
Expected CTC
โน12 โ 32 LPA
Applied research at AI labs & product teams
Expected CTC
โน10 โ 28 LPA
Pipelines, CI/CD & production ML systems
Expected CTC
โน10 โ 26 LPA
Transformers, embeddings & language models
Expected CTC
โน10 โ 28 LPA
CNNs, detection & visual intelligence
Hover any role to see expected CTC range. Figures based on recent Skillians placement data across Tier-1 hiring partners.
13 modules ยท 32+ weeks ยท 450+ hours of hands-on training.
Master Python syntax, data types and core libraries used across data science. Loops, conditionals, OOP and clean coding.
Build problem-solving logic with math, recursion and implementation problems. Time & space complexity analysis.
Problem-solving patterns in arrays and strings โ essential for data and engineering interviews.
Trees, BSTs, graphs (BFS/DFS), shortest paths and dynamic programming โ interview-grade fluency.
Vectorised computation with NumPy. Pandas dataframes โ cleaning, joining, reshaping and feature engineering on real datasets.
Apply statistics, data visualisation and SQL for effective data analysis and pattern recognition. Joins, window functions and aggregations.
Build executive-grade dashboards. Connect to live data, design visual narratives and publish reports.
Foundational concepts and techniques in Machine Learning โ supervised learning with regression and classification.
Advanced ML for prediction at scale. Ensembles, boosting, hyperparameter tuning and rigorous model evaluation.
Detailed exploration of Deep Learning, Neural Networks and their applications. CNNs and RNNs in practice.
How machines understand and interpret human language โ tokenization, embeddings, transformers and modern LLM workflows.
MLFlow, best Python practices and MLOps in computer vision and NLP contexts. CI/CD pipelines, deployment and monitoring.
Designing and building an end-to-end AI/ML product โ planning, modelling, deployment and showcasing.
A meticulously sequenced roadmap from absolute beginner to job-ready Data Scientist or AI Engineer.
Variables, control flow, OOP and clean coding across the three most-used industry languages.
Tech you'll use
Problem-solving fundamentals โ arrays, strings, hashing and recursion.
Tech you'll use
Linked lists, trees, stacks, queues and core algorithmic patterns.
Tech you'll use
Graphs, DP, greedy and advanced patterns โ interview-level command.
Tech you'll use
NumPy and Pandas โ vectorised computation, dataframes, cleaning and EDA.
Tech you'll use
Joins, window functions, aggregations and real-world analytics on large datasets.
Tech you'll use
Supervised, unsupervised, deep learning and modern GenAI stacks from leading labs.
Tech you'll use
An end-to-end ML/AI product โ modelled, deployed and ready to showcase at any interview.
Tech you'll use
30+ industry tools across programming, analytics, ML, deep learning, GenAI and MLOps.
From global tech giants to fast-growing unicorns โ our learners get hired across product, data and AI roles.
Logos belong to their respective owners and represent companies that have hired Skillians alumni or are part of our hiring partner network.
10 portfolio-grade projects across ML, DL, NLP, CV and Generative AI.
Industry Project
Forecast sales using time-series ML on real retail data, with full EDA and model evaluation.
Industry Project
Predict churn for telecom/SaaS users using classification, feature engineering and EDA.
Industry Project
Score loan applicants with explainable ML โ handling imbalanced data and bias.
Industry Project
Movie / product recommender using collaborative + content-based filtering.
Advanced Project
Train and deploy a CNN classifier on real image datasets with data augmentation.
Advanced Project
Sentiment classification on social-media text with transformer-based models.
Advanced Project
Retrieval-augmented chatbot over your own document corpus with vector search.
Advanced Project
Detect and track objects in real-world video using state-of-the-art CV models.
Advanced Project
Deploy a production model with MLFlow, CI/CD and monitoring on AWS.
Advanced Project
Train and fine-tune a diffusion model for prompt-conditioned image generation.
Beyond classroom โ guidance from day one to your first day at work.
Redesign your resume with professional help and highlight your strengths in the best possible way.
We build a robust portfolio so your profile catches the eye of prospective employers.
We've analysed the most-asked interview questions and built a training module with mock interviews.
Resolve all your career-related queries in a 1:1 session with an industry expert.
Resume Optimizer, Notes Generator, AI Interview Coach and LinkedIn Optimiser โ included with your bootcamp.
No. We start from absolute Python basics and build up to advanced ML, DL and Generative AI. About 40% of our learners come from non-CS backgrounds.
Yes. You start paying only after you're placed in a job above the agreed CTC threshold. Zero upfront tuition.
Product giants like Google, Microsoft, Amazon, Meta and Adobe; data-first companies like Razorpay, PhonePe, Swiggy, Flipkart and Cred; and consulting majors like Deloitte, EY and Accenture.
100% online, live, faculty-led with TA support. Recordings, doubt-solving, weekly assignments and code reviews are all included.
Data Scientist, ML Engineer, Data Analyst, AI Engineer, NLP Engineer, Computer Vision Engineer and MLOps Engineer.
โน47.6 LPA (Apple). Our average hike is 52% with strong outcomes across Tier-1 product and consulting firms.
Refer someone to a Skillians course โ when they enroll, the reward is yours.
Reserve your seat. Talk to admissions today and start building your career as a Data Scientist or AI Engineer.