Overview
The Advanced Data Science & AI Engineering Program is a holistic course designed to prepare you for high-impact roles in today’s data-driven world. This immersive program brings together the most in-demand domains—Data Science, Machine Learning, Artificial Intelligence, and Business Intelligence—into one unified curriculum. Whether you’re a beginner or a professional aiming to upgrade your skill set, this course provides end-to-end training, from foundational concepts to cutting-edge technologies like NLP, deep learning, and autonomous systems.
You’ll gain hands-on experience with leading tools like Python, R, SQL, TensorFlow, Tableau, Power BI, JasperReports, and Hadoop, preparing you for real-world challenges and career opportunities across industries such as finance, healthcare, retail, and technology.
Course Highlights
-
💻 Multi-Tool Proficiency: Master Python, R, SQL, TensorFlow, Keras, Power BI, Tableau, and JasperReports.
-
📊 End-to-End BI & Visualization: Build dashboards and reports using Tableau, Power BI, and JasperReports.
-
🧮 Mathematical Foundations: Gain essential knowledge in statistics, probability, linear algebra, and calculus.
-
🤖 Machine Learning & AI Mastery: Explore supervised, unsupervised, reinforcement learning, deep learning, and NLP.
-
🧠 AI & Robotics Integration: Learn about robotics, computer vision, and building autonomous systems.
-
📈 Real-World Projects: Work on industry-aligned projects and case studies simulating real job tasks.
-
🔁 Data Lifecycle Skills: From data cleaning to modeling and deploying predictive models.
-
🎯 Career-Focused Training: Become job-ready for roles like Data Scientist, AI Engineer, ML Engineer, and BI Analyst.
Course Details
Curriculum Breakdown
1. Foundations of Data Science
-
Data collection, cleaning, and transformation
-
Working with flat files, SQL databases, and Hadoop
-
Big Data architecture using Hadoop, Hive, and Pig
2. Programming for Data Science
-
Python: NumPy, Pandas, Scikit-learn, Matplotlib
-
R Programming: RStudio, ggplot2, dplyr, tidyr
-
SQL: Data querying, joins, aggregations
3. Statistical Analysis & Mathematical Foundations
-
Descriptive & inferential statistics
-
Hypothesis testing, regression, correlation
-
Probability theory, linear algebra, calculus
4. Machine Learning & Model Development
-
Supervised learning: Linear/Logistic Regression, Decision Trees, SVMs
-
Unsupervised learning: K-means, Hierarchical Clustering, PCA
-
Model tuning, cross-validation, confusion matrix, ROC curves
5. Deep Learning & Neural Networks
-
Feedforward and Convolutional Neural Networks (CNNs)
-
Recurrent Neural Networks (RNNs), LSTM
-
TensorFlow, Keras, PyTorch basics
6. Natural Language Processing (NLP)
-
Text cleaning, tokenization, stemming
-
Sentiment analysis, Named Entity Recognition (NER)
-
Chatbots and language models
7. Time Series & Forecasting
-
ARIMA, SARIMA, Holt-Winters
-
Time-series decomposition and trend analysis
-
Forecasting models in R and Python
8. Reinforcement Learning
-
Reward functions, Q-learning, Markov decision processes
9. Business Intelligence & Data Visualization
-
Tableau: Dashboards, advanced charts, calculated fields, Tableau Server
-
Power BI: DAX, data modeling, real-time analysis, Microsoft ecosystem integration
-
JasperReports: Java-SQL integration, sub-reports, parameterized reports
10. Artificial Intelligence Applications
-
Core AI concepts: search, logic, planning
-
AI Programming: C++, Java, LISP, Prolog
-
AI in Robotics, Computer Vision, Autonomous Systems
11. Ethics and Responsible AI
-
Fairness, accountability, transparency
-
Bias detection and mitigation
-
Societal impact of AI
12. Capstone Projects
-
Real-world scenarios across domains (healthcare, fintech, e-commerce)
-
End-to-end implementation from data prep to deployment
Why Choose This Course
-
✅ 100% Placement Guarantee: Pay after you’re placed at top companies.
-
👨🏫 Expert Mentors: Learn from industry veterans with real-world project experience.
-
🧪 Hands-On Learning: Project-based training with regular assignments and hackathons.
-
🧾 Interview Preparation: Mock interviews, resume building, and HR counseling included.
-
🌐 Flexible Learning: Online live classes with recorded sessions for revision.
-
📈 Career Switch Friendly: Suitable for freshers, working professionals, and career switchers.
-
🎯 All-in-One Program: No need for separate ML, AI, Tableau, or BI certifications—everything is here.
.jpg)
Customer Reviews
The deep learning module was my favorite. We used TensorFlow and Keras to build neural networks from scratch, which felt very empowering. The instructors were patient and guided us through complex concepts. I got placed at ZS Associates with a ₹14 LPA package.
Coming from a sales background, I was intimidated by AI. But the course structure made everything—from Python to reinforcement learning—easy to follow. Their placement team helped me land a BI Analyst role at Tech Mahindra with ₹9 LPA.
As an experienced Java developer transitioning to AI, I found the mathematical foundation sections incredibly helpful. The resume workshops and mock interviews were top-notch. I’m now a Data Scientist at Mu Sigma earning ₹11.5 LPA.
The Capstone project on healthcare analytics felt like real industry work. It helped me stand out during interviews. I got placed at LatentView Analytics with ₹13 LPA and am now working on exciting AI implementations.
The real-time Power BI dashboard building sessions were the best. Career Cracker’s approach to practical BI training is unmatched. I'm now a BI Developer at Accenture with a ₹10 LPA package.
Being a fresher, I was worried about job prospects. But their placement guarantee is real! I got placed at TCS Innovation Labs at ₹8 LPA right after my final mock interview.
Their NLP module is gold. I developed a sentiment analysis project that I showcased during my interview with Deloitte, and I bagged a ₹12 LPA package.
I loved how they integrated Tableau, Power BI, and JasperReports in one course. It gave me a broader skillset. I’m now working at Genpact with ₹9.5 LPA as a BI Analyst.
I had a B.Sc. degree and little tech experience. But this program changed everything. I learned Python, R, SQL, and AI. I’m now a Junior Data Scientist at Fractal Analytics earning ₹7.5 LPA.
The reinforcement learning section was tough, but the live support and 1-on-1 mentorship helped immensely. I’m proud to say I’m now at Bosch Global Software with ₹10 LPA.
Their AI + Robotics segment is unique. The real-world application focus made a difference. I got a role at HCL Technologies with ₹11.2 LPA as an AI Research Associate.
Resume reviews and coding assessments boosted my confidence. I never imagined I’d be working at Wipro AI Labs with ₹9 LPA, but here I am!
As someone from a finance background, their BI and visualization tools were game changers. I cracked an interview at EY and secured a ₹13.5 LPA package.
Their ethics and responsible AI module helped me stand out. I’m currently working as a Responsible AI Analyst at Infosys with ₹10 LPA.
I wanted a course with both depth and placement support. Career Cracker delivered. I’m now working at Cimpress with ₹8.5 LPA after getting hands-on with machine learning models.
The structured flow from basics to advanced AI made it easy to learn even for a non-tech person like me. I got placed at Capgemini India with ₹9.2 LPA.
Every module had assignments and mini-projects which prepped me well. After finishing the NLP capstone, I joined TuringMinds.AI with ₹10.8 LPA.
I loved the time-series forecasting module. It had clear use-cases. This project helped me land a job at Oracle India with ₹12.6 LPA.
From zero coding knowledge to deploying CNNs using Keras, the journey was incredible. I’m now a Computer Vision Engineer at Mindtree earning ₹13.2 LPA.
The live sessions and recording access were very flexible. I could balance my job and upskill. I switched to a new role at Jio Platforms Ltd with ₹14.5 LPA.
The Hadoop and Big Data section was exhaustive and deeply practical. It gave me an edge when I interviewed with Incedo, where I’m now working at ₹10 LPA.
I was offered a role at Zycus as a Data Analyst with ₹8.6 LPA thanks to the structured prep for interviews and SQL-heavy projects.
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.
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.
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.
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.
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 Academy, and it was the best decision I’ve made for my career. The curriculum is comprehensive, covering everything from Python and SQL to advanced topics like deep learning, reinforcement learning, and real-world AI applications. The instructors were industry pros who brought practical insights to every session, not just theory. I especially appreciated the focus on ethical AI and explainable models—something rarely covered in most courses. The Power BI and Tableau projects helped me build a strong BI portfolio, which turned out to be a huge asset during interviews. Thanks to their relentless placement support, I got placed at Zycus as a Machine Learning Engineer with a CTC of ₹14.5 LPA. I’d recommend this course to any working professional looking to make a meaningful pivot into AI.
.jpg)
.png)
