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Data Science And AI One To One
$5,499.00
- Interactive, real-time learning with industry expert instructors
- Hands-on experience through real-world Projects
- Optimization of LinkedIn profiles for maximum professional visibility
- Guidance to effectively showcase skills and expertise to employers
- Mock interview sessions with expert feedback and career guidance
- Comprehensive coverage of Industry-Demand Tools
- Industry-recognized and Microsoft Certified Certificate
Under collaboration with
Data Science And AI Tools
Python
RStudio
Metasploit
Nikto
Nessus
Burp Suite
Jupyter
Tableau
Key Features of the Data Science Course
140+ Hours of live instructor-led training
Included
4 Months Internship Certificate
Included
6 Capstone Projects
Included
Microsoft Certification
Included
Interview calls until placement
Included
Gen AI Integrated Curriculum
Included
14+ Tools Covered
Included
15+ Years Experienced Industry Trainer
Included
Why Get a Data Science Certification
from American Tech Global LLC?
Skills for High-Demand Jobs
Master skills that top companies actively seek in data science and AI roles.
Career-Focused Training
Curriculum designed to get you job-ready with real projects and industry exposure.
Industry Experts Live
Learn directly from active data science professionals in live sessions.
👨💻
3+ Career Sessions
Resume building, mock interviews & placement support
Structured Learning Path
Step-by-step curriculum from basics to advanced concepts in data science.
Hands-On Experience
Work on real datasets and capstone projects to build a strong portfolio.
Microsoft Certification
Get a globally recognised certificate to boost your professional credibility.
Who Can Apply for the Course?
- 1Individuals already working in IT, software development, network administration, or related fields who want to specialize in cybersecurity.
- 2IT professionals who want to upgrade their careers. Graduates with at least 50% marks in the graduation final result.
- 3Individuals with a simple background and at least 60% marks in higher secondary education.
- 4Individuals who want to get ample career options and earn competitive salaries.
- 5Those who want to learn network security and digital security techniques.
50%+
Graduates Welcome
3+
Career Sessions
100%
Online & Flexible
8+
Tools Covered
Program Benefits
- Study from professionals and knowledgeable professors as they inculcate their practical experiences in the course.
- Cultivate essential skills such as data interpretation, manipulation, and predictive modelling.
- Get to work using the best data science software and equipment, such as Python, R, SQL, and Hadoop.
- Access to resources, webinars, and materials that keep you updated on the latest trends in data science.
- Use of theoretical concepts in real world projects and practical scenarios with the help of relevant tools.
- Benefit from individualised mentorship with industry experts who guide your learning journey.
- Work with advanced Data Science tools and technologies, including Python, R, SQL, and Hadoop.
🔧 Tools & Technologies
Apache Spark
GitHub
RStudio
D3.js
SAS
KNIME
Power BI
MATLAB
Python
R
SQL
Tableau
Excel
Apache Hadoop
Jupyter Notebooks
EDUCATION FOR EVERYONE
Data Science and AI Certification Program Learning Path
Boost your career with our leading data science and AI program. Master essential skills and demonstrate your expertise through our carefully designed learning path.
Module 1: Python Programming for Data Science
Learn the fundamentals of Python, a versatile and powerful programming language. This module covers essential concepts like syntax, data types, control structures, and functions, laying the foundation for data science and software development.
Module 2: Python Libraries & Exploratory Data Analysis
- Dive into essential Python libraries like NumPy, Pandas, and Matplotlib. Learn to perform Exploratory Data Analysis (EDA) to uncover insights, visualize trends, and prepare datasets for advanced analytics and modeling.
Module 3: Machine Learning- Supervised
- Learn the fundamentals of supervised learning, where models are trained on labeled data to predict outcomes. Explore key algorithms like linear regression, decision trees, and support vector machines for real-world problem-solving.
Module 4: Machine Learning- Unsupervised
- Dive into unsupervised learning, where models analyze unlabeled data to uncover hidden patterns. Explore clustering, association, and dimensionality reduction techniques like k-means and PCA for data exploration and insights.
Module 5: Deep Learning and AI
Explore the foundations of deep learning and artificial intelligence, focusing on neural networks, model training, and optimization techniques. Learn how AI models power innovations in image recognition, NLP, and more.
Module 6: SQL & Databases for Data Science
Gain proficiency in MySQL, a powerful relational database management system. Learn how to create, manage, and query databases using SQL to store and retrieve data efficiently.
Module 7: Data Visualization with Tableau
Master Tableau for data visualization, enabling you to create interactive and insightful dashboards. Learn how to connect data, apply filters, and generate compelling visual reports for informed decision-making.
Module 8: Power BI & Google Data Studio
Explore Power BI and Google Data Studio for powerful data visualization and reporting. Learn to transform raw data into interactive dashboards and reports, empowering data-driven insights and decision-making.
Module 9: Data Engineering & Big Data Tools
Master essential data engineering tools to manage, process, and transform large datasets. Learn to work with technologies like Apache Hadoop, Spark, and Kafka for efficient data pipeline creation and optimization.
Module 10: Capstone Project
This capstone project allows learners to apply their complete knowledge of Data Science and Artificial Intelligence to a real-world problem. Participants will work on an end-to-end project involving data collection, data preprocessing, model building, evaluation, deployment, and presentation. The capstone strengthens practical skills, problem-solving ability, and industry readiness by simulating real professional AI and data science workflows.
Career Opportunities
After Data Science & AI
What Can You Become?
After mastering Data, Machine Learning and Artificial Intelligence, build your career in these exciting roles — demand is sky-high!
High demand roles
Top-paying careers
Global opportunities
ML Engineer
Design, train and deploy machine learning models. Learn to run AI systems in production environments.
Most DemandedHigh Growth Role
Data Scientist
Extract insights from data, build predictive models and help drive smart business decisions.
Core RoleIndustry Favourite
AI Research Scientist
Research new AI algorithms and architectures. The minds behind models like GPT and Gemini work here.
ResearchTop-tier Opportunity
NLP Engineer
Build chatbots, language models and text processing systems. The future of LLMs starts here.
Trending NowExplosive Growth
Computer Vision Engineer
Process images and videos. Work in self-driving cars, medical imaging and surveillance systems.
SpecializedNiche & High Pay
Data Engineer
Build data pipelines, ETL processes and data infrastructure. Every company needs this role.
Foundation RoleAlways in Demand
Business Analyst (AI)
Connect data insights with business strategy. Communicate findings to non-technical stakeholders.
Business + TechGreat Entry Point
MLOps Engineer
Deploy, monitor and scale ML models on the cloud. The perfect combination of DevOps and ML.
DevOps × AIFast Emerging Field
AI Product Manager
Define the strategy for AI products and lead cross-functional teams. Tech meets leadership.
LeadershipSenior Fast Track
AI Entrepreneur
Build your own AI startup. HealthTech, FinTech, EdTech — AI opens doors everywhere.
Startup PathSky's the Limit
Capstone Projects
Hands-on projects covering the full data science lifecycle
Machine Learning
US Health Care Analysis
Analyze real-world U.S. healthcare data to uncover insights on costs, performance, and regional trends.
Python
Excel
Pandas
Seaborn
Computer Vision
Emotion Recognition
Build a deep learning model that classifies human emotions from facial expressions for smarter customer engagement.
TensorFlow
OpenCV
Keras
Computer Vision
Distracted Driver Recognition
Detect driver distractions in real-time using AI-powered computer vision to improve road and passenger safety.
PyTorch
CNN
OpenCV
NLP
Customer Sentiment Analysis
Mine product reviews and social media posts to classify sentiment and surface actionable business insights.
NLTK
BERT
Sklearn
Tableau
Data Viz
Sales Forecasting Dashboard
Build an interactive BI dashboard that forecasts quarterly sales using time-series models and visual storytelling.
Power BI
ARIMA
SQL
Excel
Time Series
Stock Price Prediction
Apply LSTM neural networks and feature engineering to predict stock closing prices from historical market data.
Python
LSTM
yfinance
Matplotlib
Machine Learning
Churn Prediction Model
Predict customer churn for a telecom dataset using classification models and interpret results with SHAP values.
XGBoost
SHAP
Sklearn
Pandas
Business Intel
E-commerce Recommendation Engine
Design a collaborative filtering system that personalises product recommendations and improves conversion rates.
Python
Surprise
Cosine Sim
Flask
Microsoft Certified
Azure Data Scientist Associate
Microsoft
Certified
Associate★★
Otema Yirenkyi
Has successfully completed the requirements to be recognized as a Microsoft Certified: Azure Data Scientist Associate.
Date of achievement: November 06, 2020
Valid until: November 06, 2022
Valid until: November 06, 2022
AMERICAN TECH GLOBAL LLC
Certificate
Of Completion
This certifies that
John A. Smith
has successfully completed the "Data Science & Artificial Intelligence: Future-Ready Program" — a comprehensive course conducted by American Tech Global LLC, demonstrating excellence in professional development.
FAQ’S
Frequently Asked Questions.
What is Data Science and Artificial Intelligence?
Data Science focuses on analyzing and interpreting large amounts of data to extract useful insights. Artificial Intelligence (AI) involves creating systems that can perform tasks that normally require human intelligence, such as learning, decision-making, and problem-solving.
What skills are required to study Data Science and AI?
Students should have a strong foundation in mathematics, statistics, and programming. Knowledge of languages like Python or R, along with skills in machine learning, data analysis, and critical thinking, are essential for working in Data Science and AI
What career opportunities are available in Data Science and AI?
Graduates can pursue careers such as Data Scientist, AI Engineer, Machine Learning Engineer, Data Analyst, and AI Researcher. These roles are in high demand across industries like technology, healthcare, finance, e-commerce, and research.
Register for Data Science and AI program
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