The Ultimate Beginner's Guide to AI & Applications
Artificial Intelligence (AI) is all around us, seamlessly integrated into our daily lives and work. Enroll in this course to understand key AI terminologies and applications, launch your AI career, or transform your existing one. This course covers core AI concepts, including deep learning, machine learning, and neural networks. You’ll examine generative AI models, including large language models (LLMs) and their capabilities. Further, you’ll analyze the applications of AI across domains, such as natural language processing (NLP), computer vision, and robotics, uncovering how these advancements drive innovation and use cases. The course will help you discover how AI, especially generative AI, is reshaping business and work environments. You’ll also explore emerging career opportunities in this rapidly evolving field and gain insights into ethical considerations and AI governance that shape responsible innovation. What you'll learnExplain the fundamental concepts and applications of AI in various domains. Describe the core principles of machine learning, deep learning, and neural networks, and apply them to real-world scenarios.Analyze the role of generative AI in transforming business operations, identifying opportunities for innovation and process improvement. Design a generative AI solution for an organizational challenge, integrating ethical considerations.Skills you'll gainFundamental Concepts of AIGenerative AIBusiness IntelligenceRisk MitigationContent CreationNatural Language ProcessingEthics in AIHands-on ExercisesCore Features:Learn new concepts from industry expertsGain a foundational understanding of a subject or toolDevelop job-relevant skills with hands-on projectsEarn a shareable career certificateThere are 4 modules in this course
1.5k Enrolled
English
4.8 (100)
5 Modules
Gain insight into a topic and learn the fundamentals.
All Levels
Self-paced
Flexible deadline. Learn at your own pace.
Course Content
5 sections•39 resources• total length
Module 1
12 resources
Video Lecture: Module 1 Part 1: Introduction to AI Course (5:16 Min)
Video Lecture: Module 1 Part 2.1 (5:45 Min)
Video Lecture: Module 1 Part 2.2 (3:21 Min)
Video Lecture: Module 1 Part 2.3 (4Min)
Video Lecture: Module 1 Part 2.4 (5Min)
Video Lecture: Module51 Part 2.5 (6:40 Min)
Video Lecture: Module 1 Part 3.1 (6Min)
Video Lecture: Module 1 Part 3.2 (6Min)
Video Lecture: Module 1 Part 3.3 (3:17 Min)
Video Lecture: Module 1 Part 3.4 (7:45 Min)
Video Lecture: Module 1 Part 3.5 (6:55)
Practical Exercises: Module 1 (~4 Hours)
Module 2
14 resources
Video Lecture: Module 2 Part 1.1 (4:53 Min)
Video Lecture: Module 2 Part 1.2 (4:15 Min)
Video Lecture: Module 2 Part 1.3 (6:16 Min)
Video Lecture: Module 2 Part 1.4
Video Lecture: Module 2 Part 1.5
Video Lecture: Module 2 Part 1.6
Video Lecture: Module 2 Part 1.7
Video Lecture: Module 2 Part 1.8
Video Lecture: Module 2 Part 1.9
Video Lecture: Module 2 Part 1.10
Video Lecture: Module 2 Part 2.1
Video Lecture: Module 2 Part 2.2
Video Lecture: Module 2 Part 2.3
Practical Exercise Module 2 (~3 Hours)
Module 3
9 resources
Video Lecture: Module 3 Part 1.1
Video Lecture: Module 3 Part 1.2
Video Lecture: Module 3 Part 1.3
Video Lecture: Module 3 Part 2.1
Video Lecture: Module 3 Part 2.2
Video Lecture: Module 3 Part 2.3
Video Lecture: Module 3 Part 2.4
Video Lecture: Module 3 Part 2.5
Practical Exercise Module 3 (~4 Hours)
Module 4
3 resources
Video Lecture: Module 4 Part 1.1
Video Lecture: Module 4 Part 1.2
Video Lecture: Module 4 Part 2
Exam
1 resources
Exam
Details to know
Shareable certificate
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Assessments
0 assignments
Taught in English
Why iqrasity
Certified, accredited, and experienced instructors
Comprehensive question bank covering all domains
Course content based on the latest exam syllabus
Proven track record of learner success across industries
Long-term access to all learning materials and updates
Rigorous assessments to ensure complete mastery
Issuance of shareable, digitally verifiable certificate