dots bg

CERTIFICATION PROGRAM IN DATA SCIENCE & AI

Course Instructor Careertronic

₹76000.00 ₹80000.00 5% OFF

To enroll in this course, please contact the Admin
dots bg

Course Overview

The Certification Program in Data Science & AI is a meticulously designed course aimed at providing in-depth knowledge and hands-on expertise in the rapidly evolving domains of data science, artificial intelligence (AI), and machine learning (ML). This program is tailored for aspiring data professionals, AI engineers, analysts, and researchers who want to master the art of extracting insights from data and developing intelligent systems.

What You’ll Learn

The program follows a structured curriculum, covering fundamental to advanced topics, ensuring learners build a strong theoretical foundation while gaining extensive practical exposure.

  • Data Science Fundamentals – Learn core concepts like data collection, preprocessing, feature engineering, and exploratory data analysis (EDA).
  • Mathematics & Statistics for AI – Understand essential probability, linear algebra, calculus, and statistical methods used in machine learning.
  • Machine Learning Techniques – Master supervised and unsupervised learning, ensemble methods, and hyperparameter tuning using Python.
  • Deep Learning & Neural Networks – Build models using TensorFlow, PyTorch, and Keras for applications in computer vision and NLP.
  • Natural Language Processing (NLP) – Work with text data, sentiment analysis, chatbots, and large language models.
  • Computer Vision – Learn image processing, object detection, and AI-powered image recognition.
  • Big Data & Cloud Computing – Explore Hadoop, Spark, and cloud platforms like AWS, Azure, and Google Cloud for scalable AI solutions.
  • AI Model Deployment – Deploy AI models using Flask, FastAPI, Docker, and Kubernetes for real-world applications.
  • Ethics & Bias in AI – Understand responsible AI practices, mitigating bias, and ensuring fairness in machine learning models.

Practical Learning & Hands-on Projects

The course emphasizes an experiential learning approach, allowing participants to apply theoretical concepts to real-world projects using industry-relevant datasets. Learners will work on projects involving:

✅ Predictive Analytics & Forecasting

✅ Fraud Detection & Anomaly Detection

✅ Recommender Systems

✅ AI-powered Chatbots

✅ Image Classification & Object Detection

✅ Sentiment Analysis & Text Mining

✅ Big Data Processing & Cloud-based AI Solutions

Who Should Enroll?

✔️ Aspiring Data Scientists & AI Engineers

✔️ Software Developers & IT Professionals

✔️ Business Analysts & Data Analysts

✔️ Researchers & Academicians

✔️ Anyone looking to transition into AI & Data Science

Career Prospects & Industry Demand

Upon completion, learners will be equipped with highly sought-after skills to secure job roles such as:

🔹 Data Scientist

🔹 AI/ML Engineer

🔹 Data Analyst

🔹 Big Data Engineer

🔹 Deep Learning Specialist

🔹 NLP Engineer

Why Choose This Certification?

✔️ Comprehensive Curriculum covering all aspects of Data Science & AI

✔️ Industry-relevant projects for hands-on experience

✔️ Expert-Led Training with real-world applications

✔️ Globally Recognized Certification to boost career opportunities

✔️ Flexible Learning Options for working professionals and students

This Certification Program in Data Science & AI empowers learners to stay ahead in the competitive landscape, driving innovation and solving real-world challenges with data-driven solutions. 🚀

Schedule of Classes

Course Curriculum

1 Subject

DATA SCIENCE

Preparatory Sessions - Python & Linux

PYTHON TEST - 1

POWER BI BASICS

DATA SCIENCE TEST

Data Analysis With MS-Excel

Data Wrangling with SQL

Python With Data Science

Linear Algebra and Advanced Statistics

Machine Learning

Deep Learning Using TensorFlow

Deploying Machine Learning Models With Cloud

GIT

Data Science Capstone Project

Business Case Studies

Natural Language Processing

Computer Vision

Data Science At Scale with Pyspark

Course Instructor

tutor image

Careertronic

14 Courses   •   966 Students