Data analytics with BI

3 months Accelerator

Data science & Machine learning

6 months bootcamp

Ai driven data science

10 months mastery program

About Course

Today’s data landscape demands more than just technical skills; it requires practical application, critical thinking, and constant adaptation. AIIT directly addresses this industry skill gap by preparing you for the real data science world.

We offer job-ready expertise through hands-on projects, simulations, and training with next-generation technologies like generative AI, PySpark, Databricks, and Power BI. Learn from expert faculty in a comprehensive curriculum that builds both technical and essential professional skills, ensuring you’re equipped for immediate impact.

Key Learning Outcomes

Master essential data science concepts and tools in a data-driven world.

Learn to deploy and monetize data models effectively.

Gain hands-on experience through real-world projects and simulations.

Become proficient in next-generation technologies like Generative AI.

Develop critical thinking and problem-solving skills for data challenges.

Cultivate professional and communication skills vital for data roles.

Course Module

18 Big Modules 10 Months

Overview of data science field, applications, tools and lifecycle.

Learn Python syntax, functions, loops, libraries (Pandas, Numpy) & use AI-assisted coding.

Supervised and unsupervised algorithms, model training, testing, evaluation.

Hands-on with Matplotlib, Seaborn, Power BI, and dashboard creation for storytelling.

Use AI tools like ChatGPT, Bard, AutoML, and Notebooks for faster project development.

Use AI tools like ChatGPT, Bard, AutoML, and Notebooks for faster project development.

What you will achieve

  • Becoming a job-ready data science professional.
  • Mastering data up-to-date and technologies.
  • Gaining confidence in handling real-world data challenges.
  • Developing strong analytical and problem-solving abilities.
  • Acquiring essential professional skills for career growth.
  • Being equipped to secure a successful job in data science.
  • Building an impressive portfolio of practical projects.

What Does This Course Have to Offer

  • Job-ready data science expertise.
  • Hands-on training with real-world projects.
  • Learning next-gen tools like Generative AI, PySpark, Databricks.
  • Expert faculty providing industry insights.
  • Comprehensive curriculum from basics to advanced AI.
  • Dedicated career counseling and placement support.

Reach Out


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Need To Know More

Ready to dive deeper into the world of Data Science? Our program is meticulously designed to equip you with the practical skills and industry knowledge needed to excel. Discover how our expert-led training, hands-on projects, and cutting-edge curriculum will transform you into a job-ready professional.

Download our brochure to get a comprehensive overview of modules, career opportunities, and how AIIT prepares you for success in this high-demand field.

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Which Program is Best in The Market

At AIIT, we offer specialized Data Science programs tailored to various career aspirations. Our Data Science with Power BI course is ideal for aspiring Data Analysts and Business Intelligence professionals, focusing on powerful data visualization and reporting. For those aiming to be Machine Learning Engineers or Data Scientists, our Data Science with Machine Learning (ML) program delves into building robust predictive models. Lastly, our AI-Driven Data Science Course is perfect for future-focused professionals eager to specialize in cutting-edge AI applications, including Generative AI.

3 Months

Accelerator (CDA)

Certified Data Analyst (CDA)

  • Introduction to Power BI fundamentals
  • Data connectivity, transformation, and cleansing
  • Mastering DAX (Data Analysis Expressions)
  • Building dynamic and interactive dashboards
  • Power BI deployment, sharing, and security
  • SQL for Data Retrieval and Management
  • Python for Data Handling and Exploratory Analysis
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6 Months

Bootcamp (Recommended)

Certified Data Scientist - ML Track (CDS-ML)

  • Professional Skills and SQL Fundamentals
  • Python Programming and Data Analysis Libraries (Numpy, Pandas, Matplotlib, Seaborn)
  • Statistics for Data Science (Descriptive, Inferential, Probability)
  • Core Machine Learning Algorithms (Regression, Trees, KNN, K-means)
  • Time Series Forecasting Techniques
  • Ensemble Methods and Hyperparameter Tuning
  • Business Intelligence with Power BI (Dashboards, DAX)
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10 Months

Mastery Program (CDS-AI)

Certified Data Scientist - AI Track (CDS-AI)

  • Professional Skills, Excel, and Database Fundamentals
  • Python Programming and Data Analysis Libraries (Numpy, Pandas, Matplotlib, Seaborn)
  • Statistics for Data Science (Descriptive, Inferential, Hypothesis Testing)
  • Core Machine Learning, Ensemble Techniques, and Time Series Forecasting
  • Advanced Model Tuning and Hyperparameter Optimization
  • Generative AI, NLP, and AI Agents
  • Big Data Processing, Cloud Concepts, and Model Deployment
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Learn With a World-Class Curriculum

Duration-3 Months

Learn to analyze data using foundational tools. This program covers Excel, SQL, and Python to clean and transform data, build interactive dashboards with Power BI, and develop key professional skills for a successful career in data analysis.

Topics Covered
  • ✅ Excel & Database Fundamentals
  • ✅ Python & SQL for Data Analysis
  • ✅ Business Intelligence with Power BI
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Duration-6 Months

Master the core of machine learning with a focus on practical applications. This course covers everything from Python and SQL fundamentals to machine learning algorithms, time series forecasting, and model tuning for real-world projects.

Topics Covered
  • ✅ Python, Libraries, & SQL
  • ✅ Machine Learning Algorithms
  • ✅ Ensemble & Time Series Techniques
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Duration-10 Months

Become an AI expert by mastering Python, machine learning, and advanced generative AI concepts. Learn to deploy models using MLOps, work with big data in PySpark, and utilize Databricks for a comprehensive skill set.

Topics Covered
  • ✅ Python, Libraries, & SQL
  • ✅ Machine Learning & Generative AI
  • ✅ Big Data & Cloud Concepts
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