Industry-recognized completion cert
AWS Certified Machine Learning
Professional ML Engineer path
Competitive ML project exposure
The CodEvo Data Science with AI program is not a passive video course — it is a structured, mentored learning experience designed to transform you from a beginner or mid-career professional into a job-ready data scientist within 4 to 6 months. Every module is built around real problems, real datasets, and real tools used in production environments today.
We begin at the foundation — Python, mathematics, and statistics — and progressively layer in data wrangling, visualization, classical machine learning, deep learning architectures, NLP pipelines, and finally cloud-based AI deployment. You work through 10+ guided projects spanning finance, healthcare, retail, and social data, building a portfolio that speaks for itself in interviews.
Our instructors are practicing data scientists and ML engineers from the industry — not academics. They bring real-world context: how data is messy, how production deployment differs from Jupyter notebooks, and what hiring managers actually look for. Combined with placement support and cloud certification prep, this program gives you every tool needed to land your first or next data role.
We build your statistical and programming foundation before jumping to models — so you understand why algorithms work, not just how to call them.
From churn prediction and sentiment analysis to image classifiers and recommendation engines — every project mirrors a real business problem.
Structured preparation for AWS Certified Machine Learning and Google Cloud Professional ML Engineer exams — globally recognised credentials.
Weekly 1:1 and group mentoring with working data scientists from product companies, analytics firms, and AI startups.
This program welcomes learners from all backgrounds. Whether you have zero coding experience or years of domain knowledge, our structured curriculum meets you where you are.
B.Tech, BCA, BSc, or MBA graduates who want to enter the data science and AI field with a job-ready skillset and a strong project portfolio.
Analysts, engineers, or domain experts in finance, healthcare, or retail who want to transition into data science or upgrade to ML-based roles.
Enterprise teams in banking, FMCG, pharma, or tech looking to upskill their workforce in data-driven decision making and AI integration.
Professionals from non-technical backgrounds — HR, marketing, operations — transitioning into data roles with the support of structured mentorship.
Researchers and PhD scholars seeking to apply ML and AI methodologies to scientific data, publications, and grant-backed research projects.
Startup founders and product managers who want to understand AI deeply enough to build data products, evaluate ML systems, and lead technical teams.
A progressive, 10-module curriculum that takes you from Python basics to deployed AI models — built to match what data science roles demand in 2025 and beyond.
Every project in the program reflects an actual industry use case — the kind of work data teams tackle every day in product companies, consultancies, and research labs.
Build and deploy a binary classification model predicting telecom customer attrition using historical usage data. Includes SHAP explainability and a FastAPI endpoint.
Train a CNN-based classifier to detect pneumonia from chest X-ray images using transfer learning on a 5,000-image dataset with data augmentation.
An end-to-end NLP pipeline that scrapes product reviews, classifies sentiment, and renders an interactive Plotly dashboard with category-level insights.
Build a Retrieval-Augmented Generation app where users upload PDFs and query them in natural language. Uses LangChain, FAISS, and OpenAI GPT-4.
LSTM-based time-series model trained on NSE stock data to forecast 7-day price trends. Includes rolling window preprocessing and confidence interval visualisation.
Collaborative filtering and content-based recommendation system trained on 100K+ user interactions, deployed as a REST microservice with Redis caching.
A full-stack data science skillset — from exploratory analysis to production ML systems — ready for modern data science and AI roles.
Our curriculum is built around the exact tools that data science teams use at product companies, analytics firms, and AI labs worldwide.
The global data science market is growing at 27% CAGR. India alone will need 11 million data professionals by 2026. Our graduates are ready for the highest-demand roles.
Build predictive models, conduct EDA, and drive decision-making at product companies, fintech firms, and analytics consultancies using Python and ML frameworks.
₹7–18 LPADesign, train, and deploy ML systems at scale. Work on recommendation engines, fraud detection, and NLP pipelines in production engineering environments.
₹10–22 LPABuild AI applications powered by large language models — RAG pipelines, AI agents, chatbots, and document intelligence products using LangChain and OpenAI APIs.
High Demand · 2025Transform raw business data into strategic insights using SQL, Python, and BI tools. An excellent entry point with rapid promotion paths in data-mature organisations.
₹4–10 LPA EntryContribute to cutting-edge AI research at academic institutions, FAANG labs, or applied research teams working on computer vision, NLP, or reinforcement learning.
Research + IndustryDesign and implement end-to-end ML infrastructure on AWS, GCP, or Azure — a senior, high-value role at cloud service providers and enterprise tech companies.
₹15–30 LPA SeniorAll trainers are practising data scientists and ML engineers — not classroom teachers. They bring production-grade context that textbooks never cover.
10+ projects are woven throughout the program — not tacked on at the end. You graduate with a GitHub portfolio that demonstrates real skill to hiring managers.
Structured prep for AWS ML Specialty and Google Cloud Professional ML Engineer — internationally recognised credentials that command higher salaries.
Guided participation in live Kaggle competitions with team coaching — the gold standard for demonstrating ML competency to technical interviewers.
Weekly office hours and monthly 1:1 career reviews with your assigned mentor — a working data professional who guides your learning and job search strategy.
Active connections to 100+ hiring partners in product companies, analytics firms, and AI startups with resume reviews, mock interviews, and direct referrals.
All recorded sessions, updated syllabi, and new module additions are yours permanently — your knowledge base grows as the field evolves.
Choose fully online, offline classroom, or hybrid delivery. Weekend batches available for working professionals who can't compromise their current employment.
From your first conversation with our advisors to your first data role — here is exactly how the journey unfolds.
Speak with our advisors about your background, goals, and the right learning track for your starting point.
Complete admission. Receive your Python starter kit, cloud sandbox access, and batch schedule.
Progress through 10 modules with weekly live sessions, recorded content, and coding assignments.
Build your portfolio, complete capstone projects, and sit for cloud AI certification exams.
Access hiring partner network, mock interviews, and direct referrals to land your data role.
Enroll in CodEvo's most comprehensive data science program and gain the skills, portfolio, certifications, and network to thrive in the AI-driven economy.