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The Immersive Program Experience
Instructor-Led Live Lectures
Gain knowledge from industry-expert instructors at the WorkForce Institute through live, interactive lectures in a dynamic online classroom setting.
Interactive, Project-Based Learning
Participate in smaller team breakout sessions as a valuable component of WorkForce Institute's hands-on courses, fostering collaboration and collective learning.
Extending the Community Beyond the Classroom
Connect with fellow students and instructors within the WorkForce Institute's Slack community, ensuring you stay informed and receive assistance throughout your course journey.
A Promising and Well-Paid Career
The AI & ML expert for user experience and navigation on multi-platforms such as websites and mobile applications. They are increasingly gaining prominence in the market in various areas such as e-commerce companies, advertising agencies, fintechs and digital banks, and technology companies.
AI Engineer
Machine Learning Engineer
AI Researcher
Robotics Engineer
AI & Machine Learning Immersive Program Overview
What Will I Learn?
Earn an industry-respected AI & Machine Learning Certification upon completion of your immersive program, to further improve your marketability and upward career potential:
Module 1: Introduction to Python & Its Libraries
Many AI and ML processes today depend on Python, a programming language used by developers to create automated solutions. Students grow familiar with Python as a general-purpose code. They’ll also learn how to identify and navigate Python libraries — and use the modules inside — to source code that can expedite complicated, code-dependent projects.
Module 2: Introduction to Machine Learning
Students learn to collect, examine and learn from data — all through a machine learning lens. This module teaches you how to refine raw data and arrive at actional conclusions, while evaluating how well your machine learning algorithms perform. You’ll also learn how to optimize active machine learning algorithms, to create even more effective data mining results.
Module 3: First Models & Tests
This hands-on module sees students create their first AI models, and test those models against real industry benchmarks to determine their effectiveness.
Module 4: Common Machine Learning Models
Students grow familiar with the most familiar machine learning models in this module. You’ll learn how to identify the machine learning model, or models, that best address a particular challenge you face. You’ll also learn how to use supervised, unsupervised and reinforcement learning algorithms to achieve specific results.
Module 5: Neural Networks
This two-part module immerses students in neural networks — computer systems meant to process data similarly to the human brain. You’ll learn the characteristics that separate a standard system from a neural network, and how you can begin creating a neural network for use in a business environment.
Module 6: Natural Language Processing
Engineers and developers use Natural Language Processing (NLP) to create systems dependent on human speech patterns. In this module, you’ll learn how to integrate NLP best practices to create systems that can process, and respond, to human language input.
Module 7: AWS & SQL for Machine Learning
Students learn the role that both AWS and SQL play in successful machine learning. You’ll identify how to integrate AI and ML features in cloud providers like AWS, and how to run Python and other code-based scripts in SQL servers
Module 8: Designing & Implementing an Azure AI Solution
In this module, students learn how to create and deploy AI solutions for business applications. You’ll learn to work alongside solutions architects to create end-to-end Azure AI solutions. After growing familiar with coding languages earlier in this program, you’ll now learn how to design solutions that integrate concepts like NLP and data science.
Module 9: Capstone Project — Autonomous Cars
Students will complete their capstone project and earn their AI & Machine Learning TFP Certification.
Download the syllabus to see all immersive program modules.
Download SyllabusPrices and Payment options
Immersive Program Features
18 Weeks Program
Instructor-led Sessions
1:1 Career Sessions
Annual Course Access
Professional Portfolio
Tuition Guarantee
Tuition Guarantee
We are confident our course will meet & exceed your expectations. However, if for any reason you are not satisfied within the first 30 days of your program, we will refund your tuition.
Instructors
Dinesh Karki
Instructor, AI/ML Engineer
Generative AI Specialist and Educator, Prompt Engineer, AI Strategist. I am a veteran Data Scientist (6+ years) who also has 10+ years of experience in tutoring and education. I have been passionate about teaching individuals for most of my adult life and am now really excited to bring this together with my experience in Data Science to help people expand their careers and reach business objectives. I am passionate about distilling complex concepts into simpler ones and get fired up when people have that "light bulb" moment
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