Courses / Advanced Data Science & AI Engineering
Live · online Placement-backed

Advanced Data Science & AI Engineering

Live, instructor-led training designed to get you hired, you pay only after placement.

★★★★★4.9 · 27 student reviews· 2,400+ careers launched across CareerCracker
Duration
90 Hours
Format
Live online
Timings
8:30–9:30 PM
Level
All graduates

// Why this track

One of the highest-paying careers in tech

Data science and AI skills are in explosive demand, from analytics to GenAI, across every industry.

Top-tier salaries

Data and AI roles are among the best-paid in the market, with strong upside for top performers.

Future-proof skills

Machine learning, deep learning and GenAI sit at the centre of where the industry is heading.

Cross-industry demand

Every sector, finance, health, retail, product, hires data and ML talent.

// What you'll master

Skills that map to real job descriptions

PythonStatistics & probabilityData wrangling & EDASupervised MLUnsupervised MLDeep learningNLP & LLMsMLOps & deploymentModel evaluationCapstone project

// Curriculum · 8 modules · 48 lessons

Built to mirror Day 1 on the job

Live sessions, real tickets and hands-on workflows, not theory dumps.

01Python for Data Science+

Build the Python foundation every data role depends on.

  • Python essentials & environments
  • NumPy arrays & vectorization
  • Pandas DataFrames
  • Reading & writing data
  • Jupyter workflow
  • Reusable functions & code style
Hands-on:Load a messy dataset and produce a clean, analysis-ready DataFrame.
02Statistics & Probability for ML+

The maths that makes models trustworthy.

  • Descriptive statistics
  • Probability & distributions
  • Sampling & confidence intervals
  • Hypothesis testing
  • Correlation vs causation
  • Bias & variance intuition
Hands-on:Run hypothesis tests on a real dataset and interpret the results.
03Data Wrangling & EDA+

Turn raw data into insight before any modelling.

  • Handling missing & dirty data
  • Feature scaling & encoding
  • Outlier detection
  • Exploratory data analysis
  • Visualization with matplotlib/seaborn
  • Data storytelling
Hands-on:Produce a full exploratory analysis with visual insights.
04Supervised Machine Learning+

Predict outcomes with regression and classification.

  • Train/test split & validation
  • Linear & logistic regression
  • Decision trees & random forests
  • Gradient boosting (XGBoost)
  • Model evaluation metrics
  • Hyperparameter tuning
Hands-on:Build and evaluate a classification model with proper validation.
05Unsupervised Learning & Feature Engineering+

Find structure in unlabeled data and craft better features.

  • Clustering (K-means, hierarchical)
  • Dimensionality reduction (PCA)
  • Feature engineering techniques
  • Pipelines
  • Anomaly detection
  • Recommendation basics
Hands-on:Segment customers with clustering and engineer predictive features.
06Deep Learning & Neural Networks+

Build neural networks with modern frameworks.

  • Neural network fundamentals
  • TensorFlow / PyTorch basics
  • CNNs for images
  • RNNs & sequences
  • Transfer learning
  • Training & regularization
Hands-on:Train an image classifier with a convolutional neural network.
07NLP & Generative AI+

Work with text and today's large language models.

  • Text processing & embeddings
  • Sentiment & text classification
  • Transformers overview
  • Working with LLM APIs
  • Prompt engineering
  • Retrieval-augmented generation (RAG)
Hands-on:Build a text-classification model and a simple LLM-powered app.
08MLOps, Deployment & Capstone+

Ship models to production and complete a portfolio project.

  • Model serialization & APIs
  • Deploying models (Flask/FastAPI)
  • Versioning & monitoring basics
  • Cloud deployment overview
  • Reproducible pipelines
  • End-to-end capstone
Hands-on:Deploy a trained model as an API and present an end-to-end capstone.

// Tools you'll use

Hands-on with industry platforms

PythonPandas / NumPyscikit-learnTensorFlow / PyTorchSQLLLM APIs

// Where it leads

Roles you'll be ready for

Data Analyst₹8–20 LPA
Data Scientist₹12–45 LPA
ML Engineer₹14–40 LPA
AI Engineer₹15–45 LPA
NLP Engineer₹14–38 LPA
MLOps Engineer₹14–35 LPA

// Reviews

What our students say

From students who took this course.

“After working in QA automation for three years, I realized I wanted to transition into something more dynamic and future-focused, data science felt like the natural choice. I enrolled in the Advanced Data Science & AI Engineering Program at Career Cracker Acad...”

ET
Eshwar T
AI Engineer · ZS Associates
₹15 LPA
package

“After 8 months of learning and multiple interviews, I secured a ₹32 LPA package at Nvidia India as an AI Research Engineer. This course was life-changing.”

ST
Suhani T
ML Engineer · Mu Sigma
₹12 LPA
package

“The curriculum is honestly one of the best in the country. From deep learning to BI tools, it’s all covered. I recently joined JP Morgan Chase with ₹15.5 LPA.”

ZF
Zayaan F
Data Scientist · Tiger Analytics
₹9 LPA
package

“Being from a mechanical background, the course gave me a strong grasp of AI fundamentals. I cracked Siemens Digital with ₹12 LPA for a Machine Learning Engineer role.”

KM
Kreesha M
MLOps Engineer · TCS
₹16 LPA
package

// Transparent fees

Pay ₹15,000 to start. The rest, only after you're placed.

No lakhs upfront. Your placement fee applies only once you have a confirmed offer with a verified salary, and it's payable in instalments.

STEP 01

₹15,000

One-time onboarding fee to join your batch and access the portal. That's all you pay to begin.

STEP 02

₹0 during training

Learn, build and interview with full placement support, nothing more is due while you're job-hunting.

STEP 03

Pay after placement

Once you're hired with a verified salary, the placement fee applies, in instalments, scaled to your package.

// Questions, answered

Common questions

Do I need a coding or IT background?+
We start from the fundamentals, so prior experience isn't required. Some tracks are fully non-coding (like STOM and AML/KYC); others teach programming from the ground up. Share your background on the demo call and we'll confirm this course is the right fit.
What are the class timings?+
Live weekday evening sessions, roughly 8:30–9:30 PM IST, so you can attend alongside a job or college. Sessions are interactive, never just recordings.
What happens if I'm not placed?+
Placement support, referrals, interview scheduling and prep, continues until you hold an offer. And you only pay the placement fee after you've actually been hired.
How much is the total fee?+
You pay ₹15,000 to start. The remaining placement fee applies only after you're placed, is scaled to your salary bracket, and can be paid in instalments. Our team will walk you through the exact slab on your demo call.
Will I get a certificate?+
Yes, you receive a CareerCracker completion certificate, plus a portfolio of real service-management work to show employers.

Ready to start, and pay only after placement?

Book a free demo class, see exactly how we teach, and get your placement plan, before you pay anything beyond ₹15,000.

Book a free demo