AI Essentials
Launch your career in Artificial Intelligence (AI) Essentials by developing in-demand skills—become job-ready in 30 hours or less.
Mode of Training
Online – Virtual (Live, Instructor Led, Real-Time Learning with Q&A and Discussions)
Certification
After the completion of the course and the exam, you will be awarded the course completion certificate.
Duration
32 hours (16 hours of Instructor-led training plus 16 hours of student practice)
This course is ideal for:
- Professionals and business leaders looking to understand how AI can drive innovation and efficiency in their organizations
- Students and recent graduates interested in starting a career in AI, machine learning, or data science
- Product managers and team leads working on or exploring AI-powered products
- IT and software professionals seeking to expand their knowledge of modern AI technologies
- Anyone curious about AI and its real-world impact, with no technical background required
Highlights
Upgrade your career with top notch training
- Master AI Fundamentals: Understand core AI concepts, including Machine Learning, NLP, and Generative AI, with practical business applications.
- Instructor-Led Training: Learn directly from experienced AI professionals through interactive, real-world sessions.
- Flexible Online Format: Attend live classes from anywhere and participate in hands-on demos and discussions.
- Accessible Learning Platform: Access course materials, session recordings, and resources anytime via our intuitive LMS.
- Convenient Scheduling: Select class timings that suit your professional and personal commitments.
- Career Support: Receive resume guidance, mock interviews, and AI-focused job search assistance to accelerate your career.
Outcomes
By the end of this course, participants will be equipped with:
- Understand of AI Essentials: Grasp the fundamental concepts of artificial intelligence, including machine learning, data analytics, natural language processing, and computer vision.
- AI Applications in Business: Learners will explore various applications of AI within different sectors such as finance, healthcare, retail, and manufacturing, understanding how AI can drive efficiency and enhance decision-making.
- Strategic Integration of AI: Learn how to assess and integrate AI technologies into existing business frameworks, enabling them to create data-driven strategies that align with organizational goals.
- Impacts on Business Models: Analyze how AI is transforming business models and practices, including automation of processes, customization of services, and innovative product development.
- Change Management and Adoption: Develop strategies for effective change management, focusing on culture, resistance, and training needed for successful AI adoption within an organization.
- Developing AI-Driven Strategies: Learn how to formulate and present AI-driven business strategies that leverage data analytics for enhanced competitive advantage.
- Case Studies and Real-World Applications: Examine case studies of successful AI implementation in various companies, providing practical examples of how AI impacts business performance.
Course Content
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About
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Key Learnings
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Pre-requisites
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Job roles and career paths
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Curriculum
The Artificial Intelligence (AI) Essentials course is designed for students, professionals, and decision-makers who want to understand and leverage the power of AI across industries. Whether you're a beginner exploring AI for the first time or a professional seeking to integrate AI concepts into your work, this course provides a strong foundation in both theory and practical application.
Through a structured blend of conceptual learning and real-world demonstrations, participants will gain insights into machine learning, natural language processing, generative AI tools, and ethical AI practices. The course also introduces learners to widely used platforms and tools like ChatGPT, Azure AI, Google Vertex AI, and low-code/no-code solutions, empowering them to explore AI with minimal technical barriers.
By the end of the course, participants will be equipped to understand AI's role in business transformation, communicate effectively with technical teams, and make informed decisions about AI adoption and strategy in areas like healthcare, finance, retail, and education.
- Gain a solid foundation in artificial intelligence, including key concepts in machine learning, natural language processing (NLP), computer vision, and generative AI.
- Understand how AI is applied across sectors like healthcare, finance, retail, and education to drive innovation and solve real-world problems.
- Learn the differences and connections between AI, machine learning, and data science, enabling informed conversations and decision-making.
- Explore various types of machine learning—supervised, unsupervised, and reinforcement learning—and their business applications.
- Exposure to leading AI tools and platforms such as ChatGPT, Gemini, Claude, Azure AI, and Vertex AI.
- Learn prompt engineering techniques to interact more effectively with generative AI tools and boost productivity.
- Understand low-code/no-code AI solutions, empowering non-technical professionals to build and experiment with AI models.
- Discover how organizations implement AI, the roles involved, and how to align AI initiatives with strategic business goals.
- Evaluate ethical implications and responsible AI practices, including bias reduction, transparency, and compliance.
Stay current with emerging AI trends, including Artificial General Intelligence (AGI), AI regulations, and their potential impact on the job market.
- Basic Computer Skills: Participants should be comfortable using computers and common software tools such as spreadsheets, presentation software, and web applications.
- No Prior Experience Required: No prior experience in AI or data science is required. A basic understanding of technology and curiosity to learn are sufficient
This training will equip you for the following job roles and career paths:
✓ AI Product Manager
✓ Data Product Manager
✓ Technical Product Manager – AI/Data
✓ AI Strategy Consultant
✓ Business Intelligence Analyst
✓ AI Project Manager
✓ Data Analyst / Data Strategist
✓ Product Owner – AI Initiatives
✓ Digital Transformation Lead
✓ Innovation Manager – AI & Data Products
- Introduction to Artificial Intelligence
- What is Artificial Intelligence?
- History and evolution of AI
- Branches of AI: Machine Learning, Deep Learning, NLP, Computer Vision, Robotics
- AI vs. Machine Learning vs. Data Science
- Real-life applications in healthcare, retail, finance, and education
- Ethical considerations and responsible AI
- Machine Learning Basics
- Types of Machine Learning: Supervised, Unsupervised, Reinforcement
- Key concepts: features, labels, training, testing, overfitting
- Overview of algorithms: Linear Regression, Decision Trees, Clustering
- Business use cases
- Demo: Simple ML workflow
- Natural Language Processing (NLP) and Generative AI
- What is NLP and how it works
- Text classification, sentiment analysis, chatbots
- Introduction to Generative AI (ChatGPT, Bard, Claude, etc.)
- Comparison of generative AI tools:
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- ChatGPT (OpenAI)
- Gemini (Google)
- Claude (Anthropic)
- Copilot (Microsoft)
- Perplexity
- Use cases: customer support, content creation, summarization
- AI Tools and Platforms
- Popular AI platforms:
- Microsoft Azure AI
- Google Vertex AI
- Amazon SageMaker
- IBM Watson
- Open-source frameworks: TensorFlow, PyTorch, Scikit-learn
- Low-code/no-code tools: Teachable Machine, Lobe.ai, Runway ML
- AI in productivity tools: Excel/Word Copilot, Gmail Smart Compose
- AI in Practice & Future Trends
- AI in the workplace: automation and productivity
- AI-powered assistants and copilots
- How companies adopt AI: roles and responsibilities
- Demo: Prompt Engineering (good vs. bad prompts)
- Future of AI: AGI, regulations, job market impact
Demand for Artificial Intelligence (AI) Essentials
The demand for AI skills is skyrocketing as organizations across industries adopt AI to enhance efficiency, personalize customer experiences, and drive innovation. From chatbots to predictive analytics, AI technologies are at the forefront of digital transformation in sectors like healthcare, finance, education, and retail.
As companies seek to integrate AI into their operations, there’s a growing need for professionals who not only understand the technology but also know how to apply it strategically. The Artificial Intelligence (AI) Essentials course addresses this talent gap by equipping learners with practical knowledge of AI tools, platforms, and use cases—without requiring a technical background.
Whether you’re a business leader, analyst, or aspiring product strategist, this course will prepare you to contribute meaningfully to AI-powered initiatives and stay competitive in an increasingly AI-driven job market.
FAQs
This course is ideal for professionals, students, and anyone interested in understanding how AI is shaping the future of business and technology. Whether you’re a beginner with no technical background or a business leader looking to integrate AI into your strategy, this course provides the foundational knowledge and tools needed to get started with confidence.
The course is designed to be completed in approximately 32 hours, which includes 16 hours of instructor-led training and 16 hours of student practice.
No prior experience in AI or data science is required. The course is designed for beginners and non-technical professionals, providing a clear and accessible introduction to AI concepts, tools, and real-world applications. All technical terms and ideas are explained in simple, easy-to-understand language.
You will learn the fundamentals of Artificial Intelligence, including concepts of machine learning, natural language processing (NLP), and generative AI. The course covers real-world AI applications across industries, introduces popular AI tools and platforms, and explores ethical considerations and future trends. You’ll also gain practical skills in prompt engineering and understand how businesses adopt and implement AI solutions.
Yes, participants will receive a certificate of completion for the course.
The course features a mix of AI tools, platforms, and learning resources. All learning materials, session recordings, and assignments will be available through our user-friendly online learning platform.
Yes, the course is offered in an online format, allowing you to participate from anywhere with a stable internet connection.
Participants will have access to instructor support throughout the course, along with resources to facilitate learning, including assignments, and exercises.
To enroll in this course, please email us at enroll@ohiocomputeracademy.com
Yes, discounts may be available for group registrations. Please contact us at enroll@ohiocomputeracademy.com for more details on group pricing options.
This course prepares you for a wide range of AI-related roles, including AI Product Manager, Data Analyst, AI Project Manager, Business Intelligence Analyst, and Innovation Manager. It equips you with the knowledge to lead AI initiatives, collaborate with technical teams, and contribute to AI strategy and adoption in industries like healthcare, finance, retail, and technology.
