#1 Choice For High-Impact Careers · Beginner to Advanced

Data Science And AI Program

Name: Data Science And AI Program
Price: 2499.00 USD
Availability: InStock

Master Data Science, Machine Learning, Deep Learning, Generative AI and Big Data with hands-on projects and Microsoft Certification.

6 Months

Duration

100% Live

Mentor-led

Virtual Labs

24/7 Practice

Microsoft

Aligned Cert

Enroll Now

4.8

100% Verified Program

Live Cohort Active

Global Certificate

Microsoft Aligned

Career Focused

Skills aligned with in-demand roles & industry needs.

Hands-on Learning

Real-world labs, projects & simulations.

Expert Instructors

Learn from industry experts with years of experience.

24/7 Support

Get help anytime from mentors and community.

menu_book Course Overview

About This Program

Data Science and Artificial Intelligence are revolutionizing every industry. This flagship 6-month program equips you with end-to-end expertise — from raw data collection and exploratory analysis to training advanced neural networks, building production LLM chatbots, and deploying predictive machine learning systems to the cloud.

military_tech Why Choose Us

Why Get Certification From American Tech Global

We focus on practical hands-on capability, virtual lab execution, and real mentorship to ensure you stand out in competitive global markets.

Industry Experts Live

Interactive live mentor-led sessions with industry leaders who work at top global tech firms.

Doubt Clearing Sessions

Dedicated weekly doubt clearing and personalized technical mentorship so you never stay blocked.

Assignment Evaluation

In-depth code and lab reviews with actionable personalized feedback on every milestone.

Lab For Your Practice

24/7 access to dedicated virtual lab environments and cloud infrastructure ready to use.

Industry Relevant Projects

Work on real-world datasets, scenarios, and production-grade architectures built for recruiters.

3+ Career Sessions

Resume polishing, LinkedIn profile optimization, and technical mock interviews to land your dream job.

rocket_launch Getting Started

Everything You Need to Get Started

No advanced experience required — just bring your curiosity and ambition.

Who This Is For

Built for Ambitious Professionals

Aspiring data scientists, AI engineers, and machine learning practitioners

Software developers and technical analysts transitioning into data intelligence

Business analysts and BI specialists aiming for predictive analytics and deep learning

STEM graduates and researchers seeking hands-on cloud AI model deployment

Professionals preparing for Microsoft Certified: Azure Data Scientist Associate

Prerequisites

What You Need to Begin

Graduates or working professionals with basic analytical curiosity

No prior programming background required — starts with Python fundamentals

A computer/laptop with internet access for Google Colab, Jupyter, and cloud labs

bolt Learning Outcomes

What You Will Master

A rigorously engineered syllabus designed in partnership with active tech leaders.

Master Python programming for data science and software development

Apply statistical thinking, hypothesis testing, and probability modeling

Perform exploratory data analysis with Pandas, NumPy, Matplotlib & Seaborn

Build supervised and unsupervised machine learning algorithms from scratch

Train deep neural networks for computer vision and NLP using PyTorch/TensorFlow

Develop intelligent chatbots and conversational AI with LLMs and prompt engineering

Craft executive dashboards and data models in Power BI and Tableau

Handle big data pipelines with Apache Hadoop, Spark, and SQL databases

Implement MLOps practices for model deployment, CI/CD, and real-time monitoring

Deliver a comprehensive end-to-end Capstone project ready for recruiter review

Align skills with Microsoft Certified: Azure Data Scientist Associate certification

construction Tools & Tech Stack

Industry-Standard Tools You'll Master

Python

pandas

NumPy

Matplotlib Seaborn logo

Seaborn

Python

pandas

NumPy

Matplotlib Seaborn logo

Seaborn

Python

pandas

NumPy

Matplotlib Seaborn logo

Seaborn

Python

pandas

NumPy

Matplotlib Seaborn logo

Seaborn

scikit-learn TensorFlow logo

TensorFlow PyTorch logo

PyTorch

Power BI

Tableau

scikit-learn TensorFlow logo

TensorFlow PyTorch logo

PyTorch

Power BI

Tableau

scikit-learn TensorFlow logo

TensorFlow PyTorch logo

PyTorch

Power BI

Tableau

scikit-learn TensorFlow logo

TensorFlow PyTorch logo

PyTorch

Power BI

Tableau

SQL

Apache Spark Hadoop logo

Hadoop

LangChain

OpenAI

SQL

Apache Spark Hadoop logo

Hadoop

LangChain

OpenAI

SQL

Apache Spark Hadoop logo

Hadoop

LangChain

OpenAI

SQL

Apache Spark Hadoop logo

Hadoop

LangChain

OpenAI

menu_book Course Modules

Comprehensive Curriculum

12 in-depth modules covering end-to-end concepts, hands-on lab exercises, and capstone milestones.

Python Syntax, Variables & Fundamental Data Types

Operators, Expressions & Input/Output Handling

Control Structures: Conditionals & Loops

Functions, Modules & Reusable Code Architecture

Working with Lists, Dictionaries, Tuples & Files

Descriptive Statistics: Central Tendency & Variance

Probability Distributions (Normal, Binomial, Poisson)

Hypothesis Testing: t-tests, Chi-Square, ANOVA

Correlation, Covariance & Regression Foundations

NumPy Arrays, Broadcasting & Vectorized Operations

Data Wrangling with Pandas Series & DataFrames

Handling Missing Values, Duplicates & Outliers

Data Visualisation with Matplotlib & Seaborn

Comprehensive Exploratory Data Analysis (EDA) Workflow

Fundamentals of Conversational Interfaces

Rule-Based vs AI-Powered Dialogue Systems

NLP Text Processing & Intent Recognition

Building and Deploying Chatbots with Python & APIs

Supervised Learning: Linear & Logistic Regression

Decision Trees, Random Forests & Ensemble Methods

Support Vector Machines (SVM) & k-NN

Unsupervised Learning: K-Means Clustering & Hierarchical Clustering

Dimensionality Reduction with PCA & Feature Engineering

Model Evaluation Metrics, Cross-Validation & Hyperparameter Tuning

Artificial Neural Network Architecture & Perceptrons

Activation Functions, Loss Functions & Backpropagation

Convolutional Neural Networks (CNNs) for Image Recognition

Recurrent Neural Networks (RNNs) for Sequence Modeling

Model Training & Optimization with PyTorch and TensorFlow

Overview of Generative AI & Creative Models

Prompt Engineering Best Practices & Strategies

Text & Image Generation with Modern Foundation Models

The Role of Diffusion Models & Transformer Attention

Architecture & Inner Workings of Modern LLMs

Tokenization, Embeddings & Vector Representations

Fine-Tuning Concepts & LoRA Adapters

Building Applications with LLM APIs & LangChain

Power BI Desktop Setup & Connecting Data Sources

Data Modeling, Table Relationships & Star Schemas

DAX Essentials: Calculated Columns & Measures

Interactive Report Design & Dashboard Publishing

Relational Databases & Advanced SQL Queries

Big Data Fundamentals with Apache Hadoop Ecosystem

Distributed Data Processing with Apache Spark

Real-Time Streaming Concepts with Apache Kafka

Text Preprocessing, Stemming, Lemmatization & TF-IDF

Sentiment Analysis & Text Classification Models

MLOps Fundamentals: Versioning, CI/CD & Model Registry

Deploying ML Models as REST APIs with FastAPI & Docker

Problem Formulation, Scoping & Dataset Acquisition

Data Cleaning, Preprocessing & Feature Engineering

Model Building, Hyperparameter Tuning & Cross-Validation

Cloud Deployment, API Serving & Final Presentation

deployed_code Real-World Portfolio

Projects That Build Your Portfolio

You don't watch tutorials. You train production ML models and deploy real AI systems.

Exploratory Data Analysis Suite

Clean messy enterprise datasets with pandas, engineer novel features, and visualize trends with Matplotlib/Seaborn.