OKLAHOMA RESIDENTS ONLY

The Certified Manufacturing Associate is a nationally recognized industry certification offered through the Society of Manufacturing Engineers (SME) This certification focuses on basic manufacturing concepts, demonstrating an individual’s potential for high-demand, entry-level manufacturing roles. The program covers fundamental topics such as shop math, assembly, maintenance, machining, inspection, and successful completion demonstrates that the individual has basic knowledge of manufacturing and may be an ideal candidate for entry-level manufacturing employment. The micro-credential will be awarded if the learner successfully completes all 25 courses and passes the national

OKLAHOMA RESIDENTS ONLY

An in-depth study of dimensional tolerancing as identified in the American National Standards Institute, ANSI Y 14.5 specification. This course will explore the meaning of symbols used in the International Standard, their application, and the processes necessary to achieve the specified geometry and the common practices used in Engineering drawings, and practical limits and challenges in the manufacturing environment.

Online Class

Prepare for a career in the high-growth field of data engineering. In this program, you’ll learn in-demand skills like Python, SQL, and Databases to get job-ready in less than 5 months.

Data engineering is building systems to gather data, process and organize raw data into usable information. Data engineers provide the foundational information that data scientists and business intelligence analysts use to make decisions.

This program will teach you the foundational data engineering skills employers are seeking for entry level data engineering roles, including Python, one of the most widely used programming languages. You’ll also master SQL, RDBMS, ETL, Data Warehousing, NoSQL, Big Data, and Spark with hands-on labs and projects.

You’ll learn to use Python programming language and Linux/UNIX shell scripts to extract, transform and load (ETL) data. You’ll work with Relational Databases (RDBMS) and query data using SQL statements and use NoSQL databases as well as unstructured data. You'll also learn how generative AI tools and techniques are used in data engineering.

Upon completion, you’ll have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise. You’ll also earn an IBM Digital badge and will gain access to career resources to help you in your job search, including mock interviews and resume support. 

This program is ACE® recommended—when you complete, you can earn up to 12 college credits.

Applied Learning Project

Throughout this Professional Certificate, you will complete hands-on labs and projects to help you gain practical experience with Python, SQL, relational databases, NoSQL databases, Apache Spark, building data pipelines, managing databases, and working with data warehouses.

Projects:

• Design a relational database to help a coffee franchise improve operations.

• Use SQL to query census, crime, and school demographic data sets.

• Write a Bash shell script on Linux that backups changed files.

• Set up, test, and optimize a data platform that contains MySQL, PostgreSQL, and IBM Db2 databases.

• Analyze road traffic data to perform ETL and create a pipeline using Airflow and Kafka.

• Design and implement a data warehouse for a solid-waste management company.

• Move, query, and analyze data in MongoDB, Cassandra, and Cloudant NoSQL databases.

• Train a machine learning model by creating an Apache Spark application.

• Design, deploy, and manage an end-to-end data engineering platform.

  OKLAHOMA RESIDENTS ONLY

Prepare for a career in the high-growth field of data engineering. In this program, you’ll learn in-demand skills like Python, SQL, and Databases to get job-ready in less than 5 months.

Data engineering is building systems to gather data, process and organize raw data into usable information. Data engineers provide the foundational information that data scientists and business intelligence analysts use to make decisions.

This program will teach you the foundational data engineering skills employers are seeking for entry level data engineering roles, including Python, one of the most widely used programming languages. You’ll also master SQL, RDBMS, ETL, Data Warehousing, NoSQL, Big Data, and Spark with hands-on labs and projects.

You’ll learn to use Python programming language and Linux/UNIX shell scripts to extract, transform and load (ETL) data. You’ll work with Relational Databases (RDBMS) and query data using SQL statements and use NoSQL databases as well as unstructured data. You'll also learn how generative AI tools and techniques are used in data engineering.

Upon completion, you’ll have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise. You’ll also earn an IBM Digital badge and will gain access to career resources to help you in your job search, including mock interviews and resume support. 

This program is ACE® recommended—when you complete, you can earn up to 12 college credits.

Applied Learning Project

Throughout this Professional Certificate, you will complete hands-on labs and projects to help you gain practical experience with Python, SQL, relational databases, NoSQL databases, Apache Spark, building data pipelines, managing databases, and working with data warehouses.

Projects:

• Design a relational database to help a coffee franchise improve operations.

• Use SQL to query census, crime, and school demographic data sets.

• Write a Bash shell script on Linux that backups changed files.

• Set up, test, and optimize a data platform that contains MySQL, PostgreSQL, and IBM Db2 databases.

• Analyze road traffic data to perform ETL and create a pipeline using Airflow and Kafka.

• Design and implement a data warehouse for a solid-waste management company.

• Move, query, and analyze data in MongoDB, Cassandra, and Cloudant NoSQL databases.

• Train a machine learning model by creating an Apache Spark application.

• Design, deploy, and manage an end-to-end data engineering platform.

This Professional Certificate is intended to help you develop the job-ready skills and portfolio for an entry-level Business Intelligence (BI) or Data Warehousing Engineering position. Throughout the online courses in this program, you will immerse yourself in the in-demand role of a Data Warehouse Engineer and acquire the essential skills you need to work with a range of tools and databases to design, deploy, operationalize and manage Enterprise Data Warehouses (EDW).

By the end of this Professional Certificate, you will be able to perform the key tasks required in a data warehouse engineering role. You will work with Relational Database Management Systems (RDBMS) and query data using SQL statements.

You will use Linux/UNIX shell scripts to automate repetitive tasks, and build data pipelines with tools like Apache Airflow and Kafka to Extract, Transform and Load (ETL) data. You will gain experience with managing databases and data warehouses.

Finally, you will design and populate data warehouse systems and utilize Business Intelligence tools to analyze and extract insights using reports and dashboards.

This program is suitable for anyone with a passion for learning and is suitable for you whether you have a college degree or not and does not require any prior data engineering, or programming experience.

Applied Learning Project

Each course includes numerous hands-on labs and a project to hone and apply the concepts and skills you learn. By the end of the program, you will have designed, implemented, configured, queried, and maintained numerous databases and created data pipelines using real-world tools and data repositories to build a portfolio of job-ready skills.

You will start by provisioning a database instance on Cloud. Next, you will design databases using Entity-Relationship Diagrams (ERD) and create database objects like tables and keys using MySQL, PostgreSQL and IBM Db2.

You will then become proficient with querying databases with SQL using SELECT, INSERT, UPDATE and DELETE statements, and learn to filter, sort & aggregate result sets. Next, you will become familiar with common Linux/Unix shell commands and use them to build Bash scripts.

You will create Data Pipelines for batch and streaming ETL jobs using Apache Airflow and Kafka. Finally, implement data warehouses & create BI dashboards.

This Professional Certificate is intended to help you develop the job-ready skills and portfolio for an entry-level Business Intelligence (BI) or Data Warehousing Engineering position. Throughout the online courses in this program, you will immerse yourself in the in-demand role of a Data Warehouse Engineer and acquire the essential skills you need to work with a range of tools and databases to design, deploy, operationalize and manage Enterprise Data Warehouses (EDW).

By the end of this Professional Certificate, you will be able to perform the key tasks required in a data warehouse engineering role. You will work with Relational Database Management Systems (RDBMS) and query data using SQL statements.

You will use Linux/UNIX shell scripts to automate repetitive tasks, and build data pipelines with tools like Apache Airflow and Kafka to Extract, Transform and Load (ETL) data. You will gain experience with managing databases and data warehouses.

Finally, you will design and populate data warehouse systems and utilize Business Intelligence tools to analyze and extract insights using reports and dashboards.

This program is suitable for anyone with a passion for learning and is suitable for you whether you have a college degree or not and does not require any prior data engineering, or programming experience.

Applied Learning Project

Each course includes numerous hands-on labs and a project to hone and apply the concepts and skills you learn. By the end of the program, you will have designed, implemented, configured, queried, and maintained numerous databases and created data pipelines using real-world tools and data repositories to build a portfolio of job-ready skills.

You will start by provisioning a database instance on Cloud. Next, you will design databases using Entity-Relationship Diagrams (ERD) and create database objects like tables and keys using MySQL, PostgreSQL and IBM Db2.

You will then become proficient with querying databases with SQL using SELECT, INSERT, UPDATE and DELETE statements, and learn to filter, sort & aggregate result sets. Next, you will become familiar with common Linux/Unix shell commands and use them to build Bash scripts.

You will create Data Pipelines for batch and streaming ETL jobs using Apache Airflow and Kafka. Finally, implement data warehouses & create BI dashboards.

OKLAHOMA RESIDENTS ONLY

DevOps professionals are in high demand! According to a recent GitLab report, DevOps skills are expected to grow 122% over the next five years, making it one of the fastest growing skills in the workforce.

This certificate will equip you with the key concepts and technical know-how to build your skills and knowledge of DevOps practices, tools and technologies and prepare you for an entry-level role in Software Engineering. 

The courses in this program will help you develop skill sets in a variety of DevOps philosophies and methodologies including Agile Development, Scrum Methodology, Cloud Native Architecture, Behavior and Test-Driven Development, and Zero Downtime Deployments.

You will learn to program with the Python language and Linux shell scripts, create projects in GitHub, containerize and orchestrate your applications using Docker, Kubernetes & OpenShift, compose applications with microservices, employ serverless technologies, perform continuous integration and delivery (CI/CD), develop testcases, ensure your code is secure, and monitor & troubleshoot your cloud deployments.

Guided by experts at IBM, you will be prepared for success. Labs and projects in this certificate program are designed to equip job-ready hands-on skills that will help you launch a new career in a highly in-demand field. 

This professional certificate is suitable for both - those who have none or some programming experience, as well as those with and without college degrees.

Applied Learning Project

Throughout the courses in this Professional Certificate, you will develop a portfolio of projects to demonstrate your proficiency using various popular tools and technologies in DevOps and Cloud Native Software Engineering. 

You will: 

• Create applications using Python programming language, using different programming constructs and logic, including functions, REST APIs, and various Python libraries.

• Develop Linux Shell Scripts using Bash and automate repetitive tasks

• Create projects on GitHub and work with Git commands

• Build and deploy applications composed of several microservices and deploy them to cloud using containerization tools (such as Docker, Kubernetes, and OpenShift); and serverless technologies

• Employ various tools for automation, continuous integration (CI) and continuous deployment (CD) of software including Chef, Puppet, GitHub Actions, Tekton and Travis.

• Secure and Monitor your applications and cloud deployments using tools like sysdig and Prometheus.

DevOps professionals are in high demand! According to a recent GitLab report, DevOps skills are expected to grow 122% over the next five years, making it one of the fastest growing skills in the workforce.

This certificate will equip you with the key concepts and technical know-how to build your skills and knowledge of DevOps practices, tools and technologies and prepare you for an entry-level role in Software Engineering. 

The courses in this program will help you develop skill sets in a variety of DevOps philosophies and methodologies including Agile Development, Scrum Methodology, Cloud Native Architecture, Behavior and Test-Driven Development, and Zero Downtime Deployments.

You will learn to program with the Python language and Linux shell scripts, create projects in GitHub, containerize and orchestrate your applications using Docker, Kubernetes & OpenShift, compose applications with microservices, employ serverless technologies, perform continuous integration and delivery (CI/CD), develop testcases, ensure your code is secure, and monitor & troubleshoot your cloud deployments.

Guided by experts at IBM, you will be prepared for success. Labs and projects in this certificate program are designed to equip job-ready hands-on skills that will help you launch a new career in a highly in-demand field. 

This professional certificate is suitable for both - those who have none or some programming experience, as well as those with and without college degrees.

Applied Learning Project

Throughout the courses in this Professional Certificate, you will develop a portfolio of projects to demonstrate your proficiency using various popular tools and technologies in DevOps and Cloud Native Software Engineering. 

You will: 

• Create applications using Python programming language, using different programming constructs and logic, including functions, REST APIs, and various Python libraries.

• Develop Linux Shell Scripts using Bash and automate repetitive tasks

• Create projects on GitHub and work with Git commands

• Build and deploy applications composed of several microservices and deploy them to cloud using containerization tools (such as Docker, Kubernetes, and OpenShift); and serverless technologies

• Employ various tools for automation, continuous integration (CI) and continuous deployment (CD) of software including Chef, Puppet, GitHub Actions, Tekton and Travis.

• Secure and Monitor your applications and cloud deployments using tools like sysdig and Prometheus.

  OKLAHOMA RESIDENTS ONLY

This course provides the basics of workplace safety principles in modern and real-world manufacturing and industrial processes for employment in entry-level manufacturing jobs. Students will learn how to work in a safe and productive manufacturing workplace; perform safety and environmental inspections; perform emergency drills and participate on emergency teams; identify unsafe conditions and take appropriate corrective action; provide safety orientation for all employees; train personnel to correctly use safety equipment; suggest processes and procedures that support work environment safety; fulfill safety and health requirements for maintenance, installation, and repair; monitor safe equipment and operator performance; and utilize effective safety-enhancing workplace practices. 

MEETING DAYS & TIMES:  MOnday, 4:00PM-5:20PM (in-person component) & ONLINE
LOCATION: Northeast Campus, Engineering Technology Building, Room ET-141
INSTRUCTOR: Wael Alqadi

Focuses on interpreting and visualizing drawings and prints used in industrial settings, including print content, the role of prints in the digital age, and exposure to geometric dimensioning and tolerancing. Also covers several foundational skills needed for print reading success, including basic mathematics, geometry principles, measurement tools, and the design process. Semester Offered: Fall
 

Section information text:
This class will meet every other week beginning on the first week of classes. Please contact the instructor of the course for more information.

Study of inspection techniques and requirements for receiving, in-process, and final inspection. Emphasis on quality planning and improvement of inspection and inspector efficiency, in both job-shop and mass production environments. The study will include reporting vendor surveillance, quality characteristics, non-conformance, and costs. Prerequisite: QCTT 1313.

A course for the development of lab research and projects in engineering technologies. Students will utilize basic hand tools in the design and fabrication of projects. With training, students may also work with mills, lathes, welding, PCB circuit design, soldering, and/or 3-D plotting in project development. Basics of metal working machine tools and standard shop practices, with a special emphasis on shop safety, will be covered along with exploration into the fundamentals of turning, milling, broaching and sawing, and the abilities of conventional machine tools. Includes lab component.
 

Section information text:
This class will meet every other week beginning on the first week of classes. Please contact the instructor of the course for more information.

MEETING DAYS & TIMES: Monday/Tuesday/Wednesday/Thursday, 11:00AM-12:20PM
LOCATION: TCC Northeast Campus, Engineering Tech, Room ET-107
INSTRUCTOR: Wael Alqadi

 

A survey of the fundamental concepts by which the quality of goods and services is evaluated and improved. The student will develop a basic understanding of the definitions, principles, and objectives of the quality field.