Industry-Focused Classroom Training
for Tech Professionalss

Boost your career with the high-technology classroom experience. Leverage your career with hands-on labs and receive live weekend mentorship from active CTOs. Earn industry-recognized certifications with exam vouchers and access targeted placement opportunities- No SSN Collection required

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Careers At Leading Tech Companies

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Explore our Hands-On Training Programs

Choose the program that fits your career goals. Compare curriculum, duration, technology stacks, certifications, and placement support.

Data Science & AI
In-person Class

Data Science & AI Architect

A comprehensive weekend classroom program covering the mathematical foundations of deep learning and petabyte-scale distributed computing.

Duration

16 Weeks

Lectures

In-Person Labs

Program Highlights:
Python Programming for Data Science
Data Visualization Techniques
Machine Learning Algorithms
Deep Learning Fundamentals
Career Opportunities:
Data Analyst
Data Scientist
Machine Learning Engineer
Download Curriculum
Syllabus Details
Program Curriculum Architecture
01 Python Core Concepts expand_more

Develop a foundation in Python by learning the main concepts, containing syntax, variables, data structures, loops, and functions. Attain the coding skills required to develop applications and tasks, and start your journey in data science and artificial intelligence.

Python Syntax Variables Data Structures Loops Functions
02 Python Libraries and Exploratory Data Analysis expand_more

Discover important Python libraries like NumPy, Pandas, Matplotlib, and Seaborn to clean, change, analyze, and visualize data. Learn EDA techniques to find patterns, anomalies and prepare datasets for machine learning and predictive analysis.

NumPy Pandas Matplotlib Seaborn EDA Data Visualization
03 Mathematics for Data Science expand_more

Learn the important mathematical and statistical methods used in data science. Understand how to analyze datasets, find patterns, and develop accurate predictive models using quantitative approaches.

Probability Hypothesis Testing Regression Analysis Statistics
04 Supervised Machine Learning Techniques expand_more

Develop an understanding of supervised machine learning by working with labeled datasets and widely used algorithms like Linear Regression, Logistic Regression, Decision Trees, Random Forest, Support Vector Machines, and K-Nearest Neighbors. Learn how to generate dependable predictive models and estimate performance utilizing practical datasets.

Linear Regression Logistic Regression Decision Trees Random Forest SVM KNN
05 Unsupervised Machine Learning Techniques expand_more

Explore unsupervised learning techniques that help in finding patterns, similarities, and hidden huge datasets. Develop practical skills with clustering, feature engineering, and data visualization for analytical applications.

Unsupervised Learning Clustering Feature Engineering Data Visualization
06 Reinforcement Machine Learning Techniques expand_more

Learn how reinforcement learning helps intelligent systems to make decisions via trial and error by engaging with environments. Discover main concepts like agents, environments, rewards, policies, Q-Learning, and Deep Q Networks (DQN) while developing models for real-world applications.

Reinforcement Learning Q-Learning DQN Agents & Environments
07 Deep Learning and Artificial Intelligence expand_more

Gain practical knowledge of deep learning by developing and training artificial neural networks for complex data-powered tasks. Discover Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformers, and model implementation techniques to develop intelligent solutions for computer vision, natural language processing, and generative AI applications.

Deep Learning Neural Networks CNNs RNNs Transformers Generative AI
08 My Structured Query Language (MySQL) expand_more

Understand database fundamentals with MySQL (My Structured Query Language). Learn to structure data, execute SQL queries, manage records, and build scalable databases for modern applications.

MySQL SQL Queries Database Fundamentals Scalable Databases
09 Tableau for Data Visualization expand_more

Develop expertise in Tableau by developing dynamic dashboards and visual reports. Learn to analyze datasets, apply filters, and communicate insights that assist data-driven decision-making.

Tableau Data Visualization Dynamic Dashboards Reports
10 Business intelligence with Power BI and Looker Studio expand_more

Learn to build interactive dashboards and business reports using Power BI and Google Data Studio. Explore data modeling, visualization techniques, and real-time reporting to uncover meaningful insights.

Power BI Looker Studio Data Modeling Real-Time Reporting
11 Data Engineering and Big Data Technologies expand_more

Explore the technologies used to collect, transform, store, and process enterprise-scale datasets. Work with industry-standard tools to generate effective data pipelines for analytics, machine learning, and cloud platforms.

Data Engineering Big Data Data Pipelines Cloud Platforms

What you will get

Beyond Training- A Complete Career Advancement Experience

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Hands-On Labs

Learn through dedicated labs featuring advanced systems, cloud environments, development setups and cybersecurity simulations.

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Learning Peers

Learn with peers through interactive discussions, and real-time technical problem-solving.

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Flexible Support

Create job-ready resumes, optimize professional presence and strengthen your interview skills to stand out.

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Industry-Relevant Projects

Develop industry-relevant projects and gain hands-on experience, showcasing your capabilities and building a portfolio that sets you apart.

Visit Our Centre

Explore our in-person facilities, meet our team, and get personalized career guidance through a one-on-one consultation.

Seattle Headquarters Center
Established 2024 | Seattle WA

Seattle Headquarters Center

Our live classroom is designed to provide students and professionals with hands-on technical learning through modern labs, expert mentorship, and career focused offline programs.

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Find us 1316 Wall St, Suite 2C, Everett, WA 98201, USA
phone
Contact Us (888) 810-2434
mail
Email Us support@skystates.com
schedule
Timings Monday - Sunday: 8 am - 5 pm

Frequently Asked Questions

Find answers to common questions about our offline programs and schedules.

What are the offline class timings of the programs? expand_more
We offer flexible class schedules seven days a week, with sessions available from 8:00 AM to 5:00 PM.
Will I receive a certificate after course completion? expand_more
Yes, students who have completed our program will receive a course completion certificate from our institute.
What Offline Programs are being offered to the students? expand_more
Our offline programs in fields such as Data Science & Artificial Intelligence, DevOps & Cloud Computing, and Cybersecurity & Ethical Hacking. The programs are curated by industry experts, with hands-on projects and practical learning.
Who can join these offline training programs? expand_more
Our program is designed for college students, fresh graduates, working professionals, and IT professionals who are looking to upgrade their skills and transition their professional careers.
How do I enroll in an offline program? expand_more
You can contact our team or directly visit the offline centre for personalized guidance and enrollment support.