Data Sciences & AI Certification

2Month/20 Hour      Price:85,000

                                    80,000 

Data Sciences & AI Certification

This comprehensive course is designed to provide students with a solid foundation in Data Science and Artificial Intelligence (AI). Covering essential concepts such as data analysis, machine learning, neural networks, and natural language processing (NLP), students will gain hands-on experience with real-world tools and techniques used by industry professionals. By the end of the course, participants will be equipped to analyze data, build AI models, and apply AI-driven solutions across various industries.

Key Learning Outcomes:

Understand the fundamentals of data science, statistics, and AI.

Work with Python libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow.

Perform data preprocessing, cleaning, and visualization.

Build and evaluate machine learning models.

Develop AI applications using neural networks and NLP.

Gain exposure to AI use cases in healthcare, finance, and business.

Prepare for careers in Data Science and AI.

Course Content

Module 1: Introduction to Data Science and AI

What is Data Science?

History and Evolution of AI

Applications of Data Science & AI

AI vs Machine Learning vs Deep Learning

Module 2: Python for Data Science

Python Basics

Working with Jupyter Notebook

NumPy and Pandas for Data Handling

Data Manipulation Techniques

Module 3: Data Visualization & Preprocessing

Exploratory Data Analysis (EDA)

Matplotlib and Seaborn

Data Cleaning & Feature Engineering

Handling Missing Data and Outliers

Module 4: Introduction to Machine Learning

Supervised vs Unsupervised Learning

Regression and Classification Algorithms

Model Evaluation: Accuracy, Precision, Recall, F1-Score

Cross-Validation and Tuning

Module 5: Deep Learning and Neural Networks

Basics of Neural Networks

Introduction to TensorFlow/Keras

Building a Simple Neural Network

Activation Functions and Backpropagation

Module 6: Natural Language Processing (NLP)

Text Preprocessing: Tokenization, Lemmatization

Sentiment Analysis with Scikit-learn

Text Classification

Chatbots and Language Models

Module 7: AI Use Cases and Capstone Project

Case Studies: AI in Healthcare, Finance, and E-commerce

Ethics and Challenges in AI

Capstone Project: Build a Data Science/AI Solution

Career Pathways:

Data Scientist
AI/ML Engineer
Data Analyst
NLP Engineer
Business Intelligence Analyst

AI Product Developer

International student Fees: USD395

Job Interview Preparation  (Soft Skills Questions & Answers)

Tough Open-Ended Job Interview Questions
What to Wear for Best Job Interview Attire
Job Interview Question- What are You Passionate About?
How to Prepare for a Job Promotion Interview

---

Stay connected even when you’re apart

Join our WhatsApp Channel – Get discount offers

 500+ Free Certification Exam Practice Question and Answers

 Your FREE eLEARNING Courses (Click Here)

---

Internships, Freelance and Full-Time Work opportunities

 Join Internships and Referral Program (click for details)

Work as Freelancer or Full-Time Employee (click for details)

Hire an Intern

---

Flexible Class Options

Weekend Classes For Professionals  SAT | SUN
Corporate Group Training Available
Online Classes – Live Virtual Class (L.V.C), Online Training

---

Related Courses

Using A.I. Tools with Business Use Cases Practical Training

Diploma Artificial Intelligence

Introduction to Artificial Intelligence- AI for beginners

Artificial Intelligence (AI) Master Course

Introduction to Artificial Intelligence ( AI ) for Managers

Beginners Course to AI (Artificial Intelligence)

Python 6 Projects – Basic to Advanced Python Programming 

Python Programming for Beginners 

Robotic Process Automation (RPA) UiPath

Machine Learning with 9 Practical Applications

Data Sciences with Python Machine Learning 

Data Sciences Specialization