Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
12 Hour(s) 41 Minute(s)
Language
English
Taught by
Selfcode Academy
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
Course Overview
Your Complete Guide to Artificial Intelligence
** Mastering Artificial Intelligence: Your Ultimate Guide to AI **
Welcome to Selfcode Academy's comprehensive AI course! Whether you're a beginner or a seasoned tech enthusiast, this program is designed to empower you with the skills and knowledge needed to excel in the exciting world of Artificial Intelligence.
Who Can Benefit:
Beginners: No prior AI experience required! This course is perfect for those embarking on their AI journey.
Students: Whether you're in high school, college, or pursuing graduate studies, this course complements your academic pursuits.
Professionals: Looking to boost your career prospects? Transitioning to AI from another field? No problem! This course is tailored for you.
Tech Innovators: Entrepreneurs and visionaries, get ready to turn your AI concepts into reality.
Data Enthusiasts: If you're passionate about data and want to harness its potential with AI, this course is your gateway.
Lifelong Learners: Stay updated with the latest AI advancements and become part of the tech-savvy community.
Course Highlights:
Module 1: Introduction to AI
Define AI and uncover its fascinating history.
Explore AI's impact in healthcare, finance, and various industries.
Delve into crucial ethical considerations in AI.
Module 2: Machine Learning Fundamentals
Learn to make predictions and categorize data through supervised learning.
Discover patterns in unlabeled data using unsupervised learning.
Evaluate model performance using essential metrics like accuracy, precision, and recall.
Module 3: Deep Learning and Neural Networks
Grasp the intricacies of artificial neural networks (ANNs).
Dive into feedforward neural networks, activation functions, and their applications.
Get hands-on experience with convolutional and recurrent neural networks (CNNs and RNNs).
Module 4: Natural Language Processing (NLP)
Prepare text data for analysis with advanced preprocessing techniques.
Perform sentiment analysis and text classification.
Generate coherent text using cutting-edge AI models.
Module 5: Computer Vision
Master image processing techniques and feature extraction.
Detect objects and segment images effectively.
Leverage CNNs for image classification.
Module 6: Reinforcement Learning
Explore the foundations of reinforcement learning and Markov Decision Processes (MDPs).
Implement Q-learning and value iteration algorithms to solve complex problems.
Module 7: Capstone Project
Apply your newfound AI expertise to solve real-world challenges.
Embark on this thrilling AI adventure with us! Our hands-on projects, clear explanations, and supportive community will boost your confidence to tackle AI challenges and contribute to the future of technology. Start your journey to AI mastery today!
* All the resource files are added in video 1 of section 1.
Course Content
- 7 section(s)
- 37 lecture(s)
- Section 1 Introduction to Artificial Intelligence
- Section 2 Machine Learning Fundamentals
- Section 3 Deep learning
- Section 4 Natural Language Processing (NLP)
- Section 5 Computer Vision
- Section 6 Reinforcement Learning
- Section 7 Capstone Project
What You’ll Learn
- Students will develop a solid understanding of the definition and historical evolution of AI.
- Students will see how AI technologies are transforming industries and solving complex problems.
- Students will explore the responsibilities associated with AI technologies, including topics like bias, fairness, transparency, and privacy.
- This course will equip students with essential machine learning skills, including supervised learning techniques for prediction and classification.
- Students will gain a comprehensive understanding of deep learning, including the principles and techniques behind artificial neural networks.
- Students will learn how feedforward neural networks work and how they can be used for various AI tasks.
- Students will explore different activation functions used in neural networks and understand their role in modeling complex data.
- Students will learn how CNNs are used for image recognition and processing.
- Students will understand how RNNs can be applied to tasks involving sequences, such as natural language processing and time series analysis.
- Students will engage in a hands-on capstone project. This project will require them to apply the concepts they have learned to solve real-world AI challenges.
Skills covered in this course
Reviews
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sshubh
Its well framed course, with all concepts covered from basics. The best part is it gets more interesting step by step.
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hharsh
This course is well-structured and easy to understand..
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KKarl
This course is just the complete package. Great job
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kkabir
This course was clear, well-paced, and full of real-world examples.
