AI Foundations & Applied Programming

Master AI fundamentals with hands-on programming! Learn Python-based data science, AI model building, and deployment using Pandas, NumPy, and Jupyter. 

AI is reshaping industries, and mastering programming and data handling is essential for developing intelligent applications. This course bridges software development with AI to prepare you for AI/ML roles.In this course, youll learn Python with key libraries like NumPy, Pandas, and Matplotlib to manipulate and visualize data. You will also explore SQL modules focusing on data preparation, query optimization, and integrating feature stores for MLOps.As you progress in this course, you'll learn about exploratory data analysis (EDA), feature engineering, and AI model interpretability to ensure fair and reliable AI solutions. Plus, you'll work on projects that include developing, deploying, and evaluating AI models with real-world applications in finance, healthcare, and retail.By the end, youll have the practical AI and programming skills needed to thrive as a software engineer, data analyst, or AI/ML professional.

Course Overview

This course comprises 5 purposely designed modules that take you on a carefully defined learning journey.Our proven learning methodology blends the best that instructor-led training and self-paced learning have to offer. Leveraging the power of instructor feedback, mentor-supported hands-on practice, and additional home-based studying, you will build the deep technical and practical understanding todays employers are looking for.Additionally, you will enjoy learning via an interactive online classroom environment where you will be able to participate and actively engage with your peers, instructors, and mentors. Plus, you will get the opportunity to earn recognized certifications which will help your resume and LinkedIn profile stand out.The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include reading material, hands-on labs, and online exam questions.As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues.Once you have successfully completed the course, you will earn your Certificate of Completion.

How It Works

By the end of this course, you will have:<ul><li>Mastered data handling with Python, Pandas, and NumPy.</li><li>Enhanced SQL skills for query optimization in AI pipelines.</li><li>Gained proficiency in exploratory data analysis (EDA) and feature engineering.</li><li>Built expertise in AI model evaluation, including SHAP, LIME, and fairness in AI.</li></ul>

Skills You Will Gain

<ul><li>Software engineers & developers Integrating AI into software solutions.</li><li>Data analysts & BI professionals Expanding AI-driven data processing & modeling.</li><li>Data engineers Utilizing AI for data transformations & model deployment.</li><li>IT professionals & system administrators Exploring AI & MLOps applications.</li><li>Product managers & tech consultants Managing AI product development & strategy.</li><li>Aspiring AI/ML engineers Transitioning into AI & machine learning roles.</li></ul>

Who Should Enroll On This Course 

<ul><li>Basic programming knowledge Familiarity with Python or any other programming language is recommended but not mandatory.</li><li>Fundamental math & statistics Understanding of basic algebra, probability, and statistics is helpful for AI concepts.</li><li>Basic SQL knowledge (Optional) Prior experience with databases and writing queries is beneficial.</li><li>No prior AI/ML experience required The course covers AI fundamentals from the ground up.</li></ul>

Prerequisites 

AI Foundations & Applied Programming - SkillUp Online

This course is ideal for professionals with some programming experience looking to enhance their AI and machine learning skills. Its perfect for software developers, data analysts, and tech professionals transitioning into AI roles.

Who is this AI Foundations & Applied Programming course designed for? 

Yes, its structured for career switchers with a programming or data background who want to develop AI expertise.

Is this course suitable for someone transitioning into AI from another tech field?

Unlike beginner AI courses, this particular course focuses on exploratory data analysis (EDA), feature engineering, AI model interpretability, and AI deployment, ensuring you build practical, real-world AI applications.

How does this course compare to beginner AI courses?

Bootcamps tend to be fast-paced, while this course provides structured, hands-on learning. Unlike a degree, this course focuses on applied AI skills, making it more relevant for job-ready training.

How does this course differ from an AI bootcamp? 

Youll work on EDA and feature engineering using real-world Kaggle datasets, along with projects in deep learning, NLP, and AI model deployment.

What kind of AI projects will I work on?

The combination of Python, SQL, AI model deployment, and AI fairness evaluation ensures you develop in-demand AI skills, increasing your value in the job market.

How does this course help improve my earning potential?

Yes, you will earn an industry-recognized Certificate of Completion, validating your expertise in AI foundations and applied programming.

Will I receive a certificate upon completion of this course?

This course is ideal for professionals with some programming experience looking to enhance their AI and machine learning skills. Its perfect for software developers, data analysts, and tech professionals transitioning into AI roles. 

Q1 Who is this AI Foundations & Applied Programming course designed for? 

Yes, its structured for career switchers with a programming or data background who want to develop AI expertise.

Q2 Is this course suitable for someone transitioning into AI from another tech field?

Unlike beginner AI courses, this particular course focuses on exploratory data analysis (EDA), feature engineering, AI model interpretability, and AI deployment, ensuring you build practical, real-world AI applications.

Q3 How does this course compare to beginner AI courses?

Bootcamps tend to be fast-paced, while this course provides structured, hands-on learning. Unlike a degree, this course focuses on applied AI skills, making it more relevant for job-ready training.

Q4 How does this course differ from an AI bootcamp? 

Youll work on EDA and feature engineering using real-world Kaggle datasets, along with projects in deep learning, NLP, and AI model deployment.

Q5 What kind of AI projects will I work on?

The combination of Python, SQL, AI model deployment, and AI fairness evaluation ensures you develop in-demand AI skills, increasing your value in the job market.

Q6 How does this course help improve my earning potential?

Yes, you will earn an industry-recognized Certificate of Completion, validating your expertise in AI foundations and applied programming.