Data Science and AI Specialist Training Programs
The most exciting 21st century technical professions are the data-centric and AI professions.
NTAI’s offers several accelerated career training programs in the following areas:
- Artificial Intelligence
- Business Analytics (aka “Business Intelligence”)
- Data Analytics
- Data Science
- Data Engineering
- Cloud-based AI Solutions Engineering
Whether you are new to Artificial Intelligence and Data-Centric professions, or an existing data expert who is seeking more powerful tips and tricks, NTAI has training programs and courses to advance your career and increase your earning potential.
Our data careers and AI trainers are experts who are ready to help you gain the know-how to advance in AI or Data Science professions.
Career Development Tracks
BUSINESS ANALYTICS (aka "Business Intelligence”)
Business Intelligence Specialists …
DATA ANALYTICS
Data Analytics Specialist
DATA SCIENCE
Data Scientists – tbd
DATA ENGINEERING
Data Engineering – tbd
ARTIFICIAL INTELLIGENCE
Artificial Intelligence Specialist
CLOUD-BASED AI SOLUTIONS ENGINEERING
Cloud-based AI Solutions Engineering – tbd
NTAI Data-Centric and AI Courses
NTAI Data and Machine Intelligence Career Acceleration Programs provide trainees with rock-solid professional foundations for Data Analytics, Data Science, Data Engineering, and Automated Machine Intelligence, aka “Artificial Intelligence”.
Data Science includes the foundation programming, math, and statistics knowledge and skills required to succeed as a Data Engineer and Artificial Intelligence Specialist.
NTAI courses cover:
- Core data science and machine intelligence concepts, terminology, and skills
- Core programming languages used for AI and data science applications
- Python, SQL, R, JavaScript, and other languages.
- The most popular AI and data science tools and analytics platforms.
- Anaconda Desktop, RStudio, VScode, git, Docker, and others
- Developing data analytics, visualization and reporting tools, and machine learning systems
- Use cases of machine intelligence in business and technical industrial applications
- Using Big Data and cloud computing tools for AI and data-centric applications.
- Sharing and putting machine learning and AI applications into production.
Students delve into scientific and statistical methodologies for dealing with data, develop and practice analytical thinking, programming, software problem solving, machine learning, data modeling, data reporting and visualization, and solution engineering.
The NTAI programs provide hands-on training and professional certification in methodologies, statistics, analytical thinking and problem solving, programming, and solution engineering.
Uniquely Individualized Training Programs
NTAI students work with their career advisor to develop an individualized and mentored training plan that fits the student’s current skills and knowledge. The Career Advisor provides a map of the steps to learn new skills, fill existing gaps, achieve mastery, and build their new career. As students receive “The Big Picture” for modern data analytics and machine intelligence, it helps them further identify the skills required for their new technical career. With the lay of the land in mind and their map in hand, students learn the territory and build the required skills.
Shared Foundations
All Data-Centric and AI programs share common foundations data science “core courses” upon which the more specialized programs are built. For example, in the data analytics, data science or engineering lifecycle, this include data capture, cleaning, curation, building databases, designing and building visualizations, building supervised and unsupervised learning systems, feature engineering, or applying deep learning techniques, and then creating data pipelines and putting applications into production. Machine intelligence builds applications using these tools and foundations.
NTAI students develop essential “hard skills” to apply the scientific method to data problems, collect and prepare data, create data models and algorithms, and use that data for analysis, visualization, and machine learning. They leave prepared for exciting new careers in data-driven analytics, intelligent decision making, and innovation science. Data and AI specialists can work in many fields of science, engineering, business, marketing, manufacturing, social science, and others.
Artificial Intelligence and Machine Learning Skills
Students learn advanced data-driven analytics and AI techniques and skills that include traditional Statistical Machine Learning, Deep Learning (aka “Neural Networks”), Natural Language Processing (NLP). Graduates from the NTAI programs are prepared to succeed in exciting new careers in business and technical analytics, AI, automated decision- making systems, and innovation in emerging science and engineering disciplines.
