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🔥 New⭐ 4.9 (14k+ reviews)

Become a Job-Ready Data Scientist with AI

Master Python, SQL, Machine Learning, Deep Learning, Power BI, and Generative AI through live expert training, real-world projects, Smart 360 AI LMS, and dedicated placement assistance.. Build real-world projects and land your dream job with guaranteed placement support.

⏱️
6-Months Program
Duration
🎥
Live + Offline
Mode
📁
10+ Real-Time Projects
Hands-on
🎓
Industry-Recognized Certificate
Industry
Course Overview
6-Months Program program
94%
Success Rate
5.8 LPA
Avg. Starting CTC
500+
Hiring Partners

Who Can Join This Program?

Whether you're a student, graduate, career switcher, or working professional, this program is designed to help you build job-ready Data Scientist + AI skills in Just Months

🎓

Students & Graduates

Learn from Scratch , Perfect for beginners.

💼

Working Professionals

Advance Your Skills , Upskill with industry-focused training.

📈

Career Switchers

Develop practical skills and launch your software career.

Call Us

Upcoming Batches

Upcoming batch dates. Pick your preferred slot.

Filling Fast
July 2026
Friday, 31 Jul
-71
days left
10:00 AM – 11:30 AM
Online + Offline
Max 30 seats
Bangalore
Filling fast23/30
Seats Open
August 2026
Thursday, 13 Aug
-58
days left
10:00 AM – 11:30 AM
Online + Offline
Max 30 seats
Bangalore
Filling fast17/30
Early Bird
August 2026
Thursday, 27 Aug
-44
days left
10:00 AM – 11:30 AM
Online + Offline
Max 30 seats
Bangalore
Filling fast9/30

Can't find a suitable date? for custom scheduling.

Curriculum

Core Analytics Frameworks
Descriptive, Diagnostic, Predictive & Prescriptive Analytics
Linear Algebra Basics
Scalars, Vectors & Matrices
Matrix Operations & Multiplication
Vectors for Machine Learning
Dot Product, Distance & Cosine Similarity
Calculus Essentials
Derivatives, Gradients & Gradient Descent
Statistical Foundations
Mean, Median, Mode, Variance & Standard Deviation
Distributions & Sampling
Analytics Decision Brief Project
Excel Analyst Foundations
Workbook Architecture & Data Types
Tables, References & Named Ranges
Excel Formula Engineering
Aggregations, IF/IFS & Business Rules
IFERROR, AND/OR/NOT Functions
Advanced Excel Lookup Engineering
XLOOKUP, VLOOKUP & INDEX-MATCH
Exact Matching & Business Keys
Excel Data Cleaning
Text Functions & Date Functions
Missing Values & Duplicate Handling
Conditional Formatting & Exception Intelligence
PivotTables & Dashboard Engineering
PivotCharts, Slicers & KPI Cards
Sales & Revenue Intelligence Dashboard
Relational Database Foundations
DBMS & RDBMS Concepts
Tables, Primary Keys & Foreign Keys
Relationships & Data Grain
SQL Retrieval & Filtering
SELECT, DISTINCT & Aliases
WHERE, IN, BETWEEN & LIKE
NULL Handling
New SQL Conditional & Date Logictopic
ORDER BY & CASE
COALESCE, String & Date Functions
SQL Aggregation & KPI Engineering
GROUP BY & HAVING
COUNT DISTINCT, SUM, AVG, MIN & MAX
SQL Business Analysis Patterns
Top-N & Contribution Analysis
Period Comparisons & Exception Analysis
E-Commerce Revenue Investigation Project
SQL Joins & Data Integration
INNER, LEFT, RIGHT & FULL JOIN
Cardinality & Join Grain
Join Reconciliation
Advanced SQL Querying
Scalar Subqueries & EXISTS
IN & Correlated Subqueries
Multi-Level Business Logic
CTEs & SQL Views
Layered Transformations
Reusable Analytical Logic
Window Functions
ROW_NUMBER, RANK & DENSE_RANK
PARTITION BY, LEAD & LAG
Running Metrics
SQL Quality & Interview Engineering
Duplicate Detection & NULL Impact
Join Inflation & Reconciliation
Revenue Rescue Command Center Capstone
Power BI Analytics Architecture
Power Query ETL
Data Profiling & Data Types
Missing Values & Duplicate Handling
Data Standardization
Repeatable Transformations
Power BI Data Modeling
Fact & Dimension Tables
Relationships & Cardinality
Filter Direction
Star Schema
DAX Foundations
Calculated Columns & Measures
SUM, COUNT & DISTINCTCOUNT
DIVIDE & Basic Filter Context
Interactive Power BI Reporting
Slicers, Filters & Drill-Through
Tooltips, Bookmarks & Visual Interactions
Sales Decision Cockpit Project
Advanced DAX Filter Context
CALCULATE & FILTER
Row Context & Filter Context
Context Transition
DAX Time Intelligence
Date Tables & MTD
QTD, YTD & Previous Period
YoY Growth & Rolling Averages
Tableau Foundations
Dimensions, Measures & Marks
Shelves, Filters & Visual Construction
Tableau Calculations & LOD Foundations
Calculated Fields
Extract Filters & Context Filters
Executive Data Storytelling
Observation, Insight & Driver Analysis
Implication, Recommendation & Expected Outcome
Executive Performance Review Project
Descriptive Statistics for Business Analytics
Mean, Median, Mode & Range
Variance & Standard Deviation
Distribution Shape
Percentiles & Quartiles
IQR & Outlier Intelligence
Box Plots & Extreme Value Investigation
Probability for Data Scientists
Conditional Probability & Independence
Bayes Theorem & Risk Reasoning
Hypothesis Testing
Null & Alternative Hypotheses
Significance Level & p-Value
Type I & Type II Errors
A/B Testing & Experiment Design
Control & Treatment Groups
Primary Metrics & Guardrails
Lift & Effect Size
Experiment-to-Decision Lab
Python Environment & Foundations
Anaconda, Jupyter & VS Code
Variables & Data Types
Type Conversion & Debugging
Python Data Structures
Lists, Tuples, Sets & Dictionaries
Indexing, Slicing & Nested Structures
Python Control Flow
if, elif & else
for & while Loops
break, continue & Comprehensions
Python Functions & Reusability
Parameters & Return Values
Default Arguments & Lambda Functions
Modular Design
Python Files & Defensive Coding
CSV/Text I/O & Exception Handling
Modules & Safe Data Ingestion
Python Analyst Utility Kit Project
NumPy Numerical Computing
Arrays & Dimensions
Indexing, Slicing & Reshaping
Broadcasting & Numerical Operations
Pandas Foundations
Series & DataFrames
CSV, Excel & JSON Ingestion
head, tail, info & describe
Data Profiling & Dataset Understanding
Pandas Selection & Feature Creation
loc, iloc & Boolean Masks
isin & Query Logic
String & Date Features
Pandas Data Cleaning
Missing Values & Duplicate Handling
Type Conversion & Category Standardization
Date Parsing
Pandas Transformation & Reshaping
groupby & Aggregations
merge & concat
pivot_table & melt
sort_values & Custom Aggregation
Messy Data Rescue Pipeline
Exploratory Data Analysis
Univariate Exploration
Bivariate Exploration
Multivariate Exploration
Hypothesis Generation
Matplotlib Analytical Visualization
Line, Bar & Scatter Charts
Histograms & Box Plots
Subplots, Labels & Annotation
Seaborn Statistical Visualization
Distribution Plots
Box & Violin Plots
Pairplots & Heatmaps
Visualization Ethics & Accessibility
Misleading Axes & Cherry-Picking
Color Misuse & Denominators
Visual Integrity
Data Storytelling & Executive Narrative
Observation, Insight & Driver
Implication, Recommendation & Action
EDA Storybook Project
SQL + Python Integration
Database Connections
Query Execution & Schema Inspection
Data Retrieval into Pandas
Feature Engineering Foundations
Feature Creation & Encoding
Scaling & Normalization
Standardization
Feature Selection
Feature Relevance & Redundancy
Dimensionality Reduction
PCA Intuition & Explained Variance
Cross-Tool KPI Reconciliation
SQL vs Pandas vs Power BI
Grain, Filters & Date Logic
Metric Contracts
Professional Analytical Notebooks
Reproducibility & Configuration
Validation & Documentation
Assumptions & Limitations
Model-Ready Data Factory Project
Machine Learning Workflow
Problem Framing & Target Definition
Features & Train/Test Split
Baselines & Reproducibility
Regression Foundations
Linear Regression
Coefficients & Residuals
Assumptions & Business Interpretation
Regression Evaluation & Generalization
MAE, MSE & RMSE
R² & Cross-Validation
Overfitting & Underfitting
Regularization & Feature Stability
Ridge, Lasso & Elastic Net
Multicollinearity & VIF
Model Experimentation Discipline
Pipelines & Preprocessing
Validation Splits & Random Seeds
Experiment Logs
Predictive Analytics Foundation Capstone
Classification Foundations
Logistic Regression
Sigmoid Function & Log-Loss
Decision Boundaries
Classification Evaluation
Confusion Matrix
Accuracy, Precision & Recall
F1 Score & Specificity
ROC-AUC & Probability Outputs
Decision Trees
Splits, Entropy & Gini
Information Gain & Pruning
Ensemble Foundations
Feature Randomization
Out-of-Bag Thinking
Model Selection & Threshold Engineering
Cross-Validation & Hyperparameters
Probability Calibration
Business Cost & Threshold Selection
Customer Churn Decision Engine Project
Boosting Theory
Weak Learners & Sequential Error Correction
Learning Rate & Additive Modeling
Gradient Boosting & AdaBoost
Loss Reduction & Staged Learning
Hyperparameter Trade-Offs
XGBoost & LightGBM
Regularized Trees
Histogram-Based Training
Efficient Model Training
Feature Importance
Practical Model Tuning
Model Explainability
Permutation Importance
SHAP Intuition
Partial Dependence
Local & Global Explanations
Advanced Model Evaluation
Cross-Validation & Learning Curves
Calibration & Error Slicing
Model Cards
Credit Risk Champion Model Project
K-Means Clustering
Centroids & Cluster Assignment
Inertia & Elbow Method
Initialization & Segment Profiling
Hierarchical Clustering
Dendrograms & Linkage
DBSCAN
Density & Noise Points
Silhouette Analysis
PCA in Practice
Standardization & Covariance Intuition
Components & Explained Variance
Association Rule Mining
Apriori & Frequent Itemsets
Support, Confidence & Lift
Market Basket Analysis
Recommendation Systems
Content-Based Features
Collaborative Filtering
Similarity & Cold Start
Recommendation Evaluation
Customer Growth Lab Project
Imbalanced Classification
Class Weights & Resampling
SMOTE Intuition
Precision-Recall Curves
Threshold Strategy
Time Series Foundations
Trend & Seasonality
Cycles & Noise
Stationarity
Lag Features & Rolling Statistics
Forecasting with ARIMA
Differencing & Autocorrelation
ACF & PACF
p-d-q Parameters
Forecast Evaluation
End-to-End Model Comparison
Baseline & Candidate Models
Validation & Explainability
Business Threshold & Recommendation
Data Science Technical Defense
Algorithms, Metrics & Assumptions
Failure Modes & Business Trade-Offs
Intelligent Risk & Forecasting Lab Capstone
Neural Network Architecture
Perceptrons & Dense Layers
Weights, Biases & Activations
Forward Propagation
Backpropagation & Optimization
Loss Functions & Gradients
Chain Rule
SGD, Momentum & Adam
Deep Learning Regularization
Dropout & Batch Normalization
Early Stopping & Weight Decay
PyTorch Foundations
Tensors, Datasets & DataLoaders
Modules & Training Loops
Model Evaluation
Deep Learning Experiment Design
Architecture Selection & Hyperparameters
Learning Curves & Error Analysis
Neural Network Baseline Project
Computer Vision Foundations
Images as Tensors
Channels & Pixels
Normalization & Augmentation
Dataset Splits
CNN Convolution Mechanics
Kernels & Feature Maps
Stride & Padding
Receptive Fields
Pooling & CNN Architecture
Max & Average Pooling
Flattening & Dense Layers
Feature Hierarchies
Image Classification Workflow
DataLoaders & Transfer Learning
Fine-Tuning & Evaluation
Vision Explainability & Error Analysis
Misclassifications
Saliency & Attribution Intuition
Bias & Dataset Quality
Visual Quality Inspector Project
Sequential Data Foundations
Temporal Dependence & Sequences
Hidden State & Lagged Context
Sequence Windows
RNN Mechanics
Recurrent Connections
Hidden States
Sequence-to-One & Sequence-to-Many
Vanishing Gradient Intuition
LSTM Architecture
Cell State
Input, Forget & Output Gates
Long-Term Memory
GRU Architecture
Update & Reset Gates
Model Complexity & Training Behavior
Deep Time-Series Modeling
Window Generation & Scaling
Forecast Metrics
Walk-Forward Validation
Leakage Prevention
Energy/Demand Forecasting Lab
NLP Foundations
Text Cleaning & Normalization
Tokenization & Stopwords
Stemming & Lemmatization
Text Representation
N-Grams & Bag of Words
TF-IDF & Sparsity
Text Feature Engineering
Text Classification & Sentiment
Logistic & Linear Models
Class Imbalance & Evaluation
Word Embeddings
Word2Vec & GloVe
Semantic Similarity
Vector Representations
NLP Project Architecture
Reviews, Tickets & Surveys
Topic Extraction & Summarization
Structured Information Extraction
Voice of Customer Intelligence Capstone
Generative AI Foundations
Language Models & Tokens
Embeddings & Transformers
Attention Mechanisms
Prompt Engineering
Role, Context & Objective
Constraints & Examples
Few-Shot & Zero-Shot Prompting
Context Windows
LLM APIs & AI-Assisted Analytics
Model Calls & Structured Responses
SQL & Python Assistance
Structured Outputs
RAG Architecture
Documents & Chunking
Embeddings & Vector Search
Retrieval & Grounding
Validation
Responsible Generative AI
Hallucination & Privacy
Prompt Injection & Bias
AI Evaluation
Citation Discipline & Loop Controls
AI Analyst Assistant Project
AI Agent Foundations
Goals & Planning
Tools, Memory & State
Workflows & Guardrails
Human Approval
AI-Assisted Development
ChatGPT, Claude & Copilot Workflows
Generation & Debugging
Refactoring & Test Creation
Git & GitHub for Data Science
Repositories & Commits
Branches & Pull Requests
README & Issues
Reproducibility
Streamlit Analytics Applications
Inputs, Filters & Metrics
Charts & Model Inference
Session State & UX
Production APIs & Deployment
Flask & FastAPI
Docker & Environment Variables
Cloud Hosting & CI/CD Awareness
AI-Powered Predictive App Project
Production Data Pipelines
Ingestion & Validation
Transformation & Feature Pipelines
Data Contracts & Failure Handling
Model Operations
Model Registry Concepts
Model Versioning
Reproducible Training
Configuration & Experiment Tracking
Model Monitoring
Data Drift & Concept Drift
Performance Decay
Bias Monitoring & Alerting
Master Capstone Architecture
Business Problem & Personas
KPI Contract & Data Architecture
Model Strategy & AI Layer
Product Backlog
Master Capstone Build Sprint
Data Pipeline & Model Benchmarking
Explainability & Dashboard
AI Assistant & Deployment Readiness
Production-Ready AI Decision Intelligence Platform
Data Scientist Interview Engineering
SQL & Python
Statistics & ML Mechanics
Case Studies & Whiteboard Reasoning
Portfolio & GitHub Engineering
Case Studies & README
Architecture Diagrams & Metrics
Screenshots & Reproducibility
Resume & LinkedIn Positioning
Achievement Bullets & ATS Alignment
Project Evidence & Skills Mapping
Recruiter Targeting
Mock Hiring Simulation
SQL Live Coding
Python/Pandas Case
ML Defense & AI Judgment
Product Metrics & Behavioral Interview
Master Capstone Defense Preparation
Executive Narrative
Technical Deep Dive
Model Limitations & Business Impact
Q&A
AI-Powered Decision Intelligence Platform Master Capstone
Live Technical Defense
Executive Presentation
Portfolio Submission
Job-Readiness Assessment

Placement Report

Real career outcomes from our Data Scientist Program.

0%
Placement Rate
5.8 LPA
Avg. Starting CTC
0%
Avg. Salary Hike
0
Interviews/Month

Batch-wise Success Rate (Last 5 Batches)

90%
Jan 24
92%
Apr 24
89%
Jul 24
95%
Oct 24
97%
Jan 25

Salary Growth Journey

Build In-Demand Skills. Unlock Bigger Career Opportunities.

After Course
₹5.2LPA
Range: 4 - 6 LPA
1-2 Years
₹8.5LPA
Range: 6 - 12 LPA
3-5 Years
₹15LPA
Range: 12 - 22 LPA
5+ Years
₹24LPA
Range: 18 - 35 LPA
4.9★
Student Rating
Smart
AI-Powered Learning
15+ Years
Training Excellence

Where Our Students Get Hired

Our Data Science Learners are hired by top organizations across multiple industries.

🏢
📊 IT Services & Technology Companies Infosys, TCS, Wipro, Cognizant, Capgemini, HCLTech, Tech Mahindra
35%
🚀
AI & Product CompaniesGoogle, Microsoft, Amazon, NVIDIA, OpenAI, Adobe, Zoho
30%
🌐
Banking, FinTech & InsuranceJPMorgan Chase, Goldman Sachs, American Express, Paytm, Razorpay, PhonePe
15%
⚡
E-Commerce & RetailAmazon, Flipkart, Meesho, Swiggy, Zepto
10%
🏢
Healthcare & Life SciencesApollo Hospitals, Optum, Philips Healthcare
5%
🏢
Startups & SaaS CompaniesFreshworks, Chargebee, BrowserStack, CRED
5%

Start Your Journey Toward a High-Paying IT Career

Connect with our Experts for Personalized Career Guidance, Live Demo details, Batch Schedules, & Placement Assistance.

Top Skills in High Demand

Master industry-leading technologies that top employers are hiring for and boost your earning potential.

Data Scientist

↑ Rising
95,000+ open positions · ₹6–25 LPA
98%
Demand

Machine Learning Engineer

↑ Rising
65,000+ open positions · ₹8–30 LPA
97%
Demand

SQL & Database Analytics

↑ Rising
85,000+ open positions · ₹4–16 LPA
97%
Demand

Python for Data Science

↑ Rising
75,000+ open positions · ₹5–22 LPA
96%
Demand

Data Visualization (Power BI & Tableau)

↑ Rising
60,000+ open positions · ₹5–20 LPA
95%
Demand

Generative AI & LLMs

→ Stable
75,000+ open positions · ₹10–35 LPA
99%
Demand

Live Activity

0
Currently Enrolled
0
Placed This Month
0
Interviews Scheduled
0
New Companies Added

Data refreshed in real-time from our placement portal

Tech Stack You'll Master

PythonPython
SQLSQL
Pandas & NumPyPandas & NumPy
MatplotlibMatplotlib
SeabornSeaborn
PlotlyPlotly
Jupyter NotebookJupyter Notebook
Google ColabGoogle Colab
Scikit-learnScikit-learn
TensorFlowTensorFlow
Power BIPower BI
TableauTableau
chatgptchatgpt
OpenAIOpenAI
Gemini AIGemini AI
LangChainLangChain
Hugging FaceHugging Face
Git & GitHubGit & GitHub
StreamlitStreamlit

Value Added Courses

These bonus courses are included free with your enrollment — no extra cost

Free
chatgpt

chatgpt

₹4,999

Free
Gemini AI

Gemini AI

₹3,999

Free
Git & GitHub

Git & GitHub

₹2,999

Free
Streamlit

Streamlit

₹3,999

Free
Power BI

Power BI

₹5,999

Free
Tableau

Tableau

₹4,999

Free
Microsoft Excel

Microsoft Excel

₹3,999

Free
Google Colab

Google Colab

₹2,999

Free
LangChain

LangChain

₹5,999

Free
Hugging Face

Hugging Face

₹5,999

Free
Docker

Docker

₹4,999

Free
FastAPI

FastAPI

₹4,999

12 bonus courses worth ₹55,988 included free with your enrollment

Projects You'll Build6 Projects

Not toy demos — real production-grade applications for your portfolio & interviews

🏆

Capstone: Revenue Rescue Command Center

Analyze business revenue using Excel and SQL, define and reconcile key KPIs, identify revenue performance issues, and provide evidence-based recommendations for management.

ExcelSQLKPI Engineering
📁

Capstone: Predictive Analytics Foundation

Build and validate a regression model using a reproducible preprocessing and modeling pipeline, evaluate its performance, and explain the results from a business perspective.

PythonPandasScikit-learnMachine Learning
📁

Capstone: Intelligent Risk & Forecasting Lab

Solve a rare-event or demand forecasting problem using robust validation, model explainability, and business-focused decision rules to support practical recommendations.

PythonMachine LearningTime SeriesARIMAModel Explainability
📁

Capstone: Voice of Customer Intelligence

Build an NLP pipeline to analyze customer text, identify sentiment and themes, generate structured insights, and convert findings into actionable business decisions.

PythonNLPPandasScikit-learnText Analytics
📁

Capstone Build: Production-Ready AI Decision Intelligence Platform

Develop an end-to-end AI decision intelligence platform covering the data pipeline, machine learning models, BI layer, AI layer, system architecture, and deployment readiness.

PythonSQLMachine LearningPower BIGenerative AIStreamlitAPIsGit & GitHubMLOps
📁

Master Capstone: AI-Powered Decision Intelligence Platform

Develop and present a complete AI-powered decision intelligence solution, demonstrating technical implementation, business impact, AI capabilities, and deployment readiness through a final technical defense.

PythonSQLMachine LearningPower BIGenerative AIStreamlitAPIsGit & GitHubMLOps

Have doubts? Chat instantly on WhatsApp

Get answers in minutes, not hours. Our counselors are online now.

Our Pool of Excellence

Learn from industry practitioners with real-world experience at top companies

MP

Murali Pagadala

CEO & Mentor

Experienced Full Stack & Data Analytics mentor with 18+ years of industry expertise.

18+
Yrs
30k+
Students
4.9★
Rating
Certs
TargetV2 SoftAccenture

Our Students Work At

500+ hiring partners across product companies, startups & MNCs

TCS
TCS
Infosys
Infosys
Wipro
Wipro
Accenture
Accenture
Capgemini
Capgemini
Cognizant
Cognizant
IBM
IBM
HT
HCL Tech
Tech Mahindra
Tech Mahindra
LTIMindtree
LTIMindtree
P
Persistent
H
Hexaware
Mphasis
Mphasis
Oracle
Oracle
SAP
SAP
Deloitte
Deloitte
E
EY
K
KPMG
PwC
PwC
Amazon
Amazon
Microsoft
Microsoft
Flipkart
Flipkart
Swiggy
Swiggy
Freshworks
Freshworks
Zoho
Zoho
Nokia
Nokia
Cisco
Cisco
Bosch
Bosch
ND
NTT Data
DT
DXC Technology

Student Reviews

4.9
out of 5
14k+ reviews
5
78%
4
15%
3
5%
2
1%
1
1%
RK

Ravi Kumar

“My overall experience with Achieversit Marathahalli branch excellent,they cleared all my doubts and alloted a good trainer murali and suresh helped to choose ri…”

💼 Placement Success
T

Tillu

“I joined AchieversIT with zero coding knowledge and was not confident in the beginning. The trainers explained every concept in a simple way, which made learnin…”

✅ Job Secured
DN

Deepak Nayak

“I had a wonderful experience at AchieversIT. I joined the **Data Analytics Course in Marathahalli, Bangalore**, and the learning environment was excellent. The…”

🎯 Offer Received
G

Gani

“Best place for data analytics in marathalli,found best support here,Thanks for best training and support. ”

⭐ Recently Placed
VB

Venkatesh BG

“I met a very good training institute after so much of research,they understand my requirements thoroughly and supported me to finish my data analytics course wi…”

❤️ Student Favorite
PR

Preetham R

“I had a great experience with the Data Analytics course at AchieversIT. The trainers explained every concept clearly and in a practical manner, making it easy t…”

⭐ Student Recommended
BM

Biswajit Malakar

“Joined 3 months for data analytics course and completed with proper guidence and they supported me right from resume building , project knowledge and finallybgo…”

📈 Career Achieved

The AchieversIT Edge

Why 45,000+ students chose us

🎓

100% Live Classes

No pre-recorded boring videos. Interact with trainers who have 8-15 years at top MNCs. Ask questions, get real-time feedback.

🛠️

10+ Real Projects

Build production-grade apps, not toy demos. Work with real APIs, databases & deploy to cloud. Goes straight on your resume.

🤝

Placement Guarantee*

Dedicated placement cell. Resume workshops, mock interviews, soft skills & direct referrals to 500+ hiring partners.

94% placed within 3 months
♾️

Lifetime Access

Miss a class? Retake the entire batch free. Lifetime access to updated materials, recordings & community.

💻

Learn Your Way

Online or at our Bangalore center — switch anytime. Same trainers, same quality, your convenience.

🏆

Industry Certifications

AchieversIT certificate + prep for AWS, Azure, Salesforce, Google & more global certifications.

Free Counselling

Ready to kickstart your career in Become a Job-Ready Data Scientist with AI?

Talk to our expert and get a personalised learning roadmap — completely free, no obligations.

  • Response within 1–2 hours
  • No spam, ever
  • 100% free consultation
  • Placement support from day one

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