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Artificial Intelligence (AI) Course For Beginners
Artificial Intelligence (AI) Course For Beginners
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Live Online Classes starting on 11th May 2024
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Why enroll for Artificial Intelligence (AI) Course For Beginners?
Benefits of Artificial Intelligence Course for Beginners
AI-related job creation will cross into positive territory, reaching two million net new jobs in 2025. The Artificial Intelligence (AI) Course for Beginners offers invaluable training benefits by providing a comprehensive introduction to essential concepts in machine learning, deep learning, and natural language processing (NLP). Learners gain a foundational understanding of AI technologies and techniques, enabling them to develop practical use cases as per their requirements. Be a part of this immersive learning experience and enhance your credentials with our certification.
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Why Artificial Intelligence (AI) Course For Beginners from edureka
Live Interactive Learning
- World-Class Instructors
- Expert-Led Mentoring Sessions
- Instant doubt clearing
Lifetime Access
- Course Access Never Expires
- Free Access to Future Updates
- Unlimited Access to Course Content
24x7 Support
- One-On-One Learning Assistance
- Help Desk Support
- Resolve Doubts in Real-time
Hands-On Project Based Learning
- Industry-Relevant Projects
- Course Demo Dataset & Files
- Quizzes & Assignments
Industry Recognised Certification
- Edureka Training Certificate
- Graded Performance Certificate
- Certificate of Completion
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About your Artificial Intelligence (AI) Course For Beginners
Skills Covered AI Course For Beginners
Tools Covered in AI Course for Beginners
Artificial Intelligence Course For Beginners Curriculum
Curriculum Designed by Experts
Artificial Intelligence Fundamentals
10 Topics
Topics:
- History of AI
- Fundamentals of Artificial Intelligence
- Types of AI
- Machine Learning Fundamentals
- Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning
- Applications of Machine Learning in Various Industries
- Basics of Data Preprocessing Techniques
- Classification and Regression Algorithms
- AI in Practice
- AI Ethics and Bias
![skill]( "Hands On Experience")
- Preprocessing a Dataset for Machine Learning Application
- AI Implementation across Industries
![skill]( "skill you will learn")
- Data Preprocessing
- Machine Learning Essentials
- Ethical Considerations of AI
Machine Learning
9 Topics
Topics:
- Data Preprocessing
- Handling Imbalanced Data
- Feature Engineering for Fraud Detection Models
- Model Training and Building for Fraud Detection
- Hyperparameter Tuning for Model Optimization
- Performance Metrics
- Analyzing Results and Performance Metrics
- Model Selection Techniques
- Ensemble Learning Techniques
![skill]( "Hands On Experience")
- Fraud Detection Using Machine Learning
- Feature Engineering
![skill]( "skill you will learn")
- Model Evaluation
- Model Selection and Validation
- Model Building
Deep Learning
7 Topics
Topics:
- Deep Learning Fundamentals for Image Analysis
- Model Training and Building for Medical Image Analysis
- Analyzing Segmentation Results and Performance Metrics
- Data Visualization Techniques for Medical Imaging Data
- Advanced Deep Learning Architectures for Medical Imaging
- Transfer Learning Techniques in Medical Image Analysis
- Generative Adversarial Networks (GANs) for Medical Imaging
![skill]( "Hands On Experience")
- Medical Image Analysis Using Deep Learning
- Neural Network operations
![skill]( "skill you will learn")
- Image Analysis
- Transfer Learning
- Generative Adversarial Networks
Natural Language Processing
11 Topics
Topics:
- Introduction to NLP
- Text Data Preprocessing for NLP Tasks
- Linguistics features
- Types of text classification
- NLTK vs. Spacy
- Model Training and Building for Intent Classification and Entity Recognition
- Analyzing NLP Results and Performance Metrics
- Data Visualization for NLP Insights
- Advanced NLP Techniques for Virtual Assistants
- Sentiment Analysis and Named Entity Recognition (NER)
- RASA Chatbot
![skill]( "Hands On Experience")
- Building a Virtual Assistant with NLP
- Feature extraction
![skill]( "skill you will learn")
- Text Pre-processing
- Building a Chatbot
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Introduction to Artificial Intelligence Course for Beginners
About Artificial Intelligence Course For Beginners
Edurekaโs Artificial Intelligence Course is designed for learners who want to level up their skills. Build machine learning prediction models, process data for AI models, train neural networks using the CNN method, and work around word embeddings. The course covers theoretical concepts as well as practical applications, enabling participants to gain hands-on experience in building AI models and solving real-world problems.
What are the learning outcomes of this Artificial Intelligence Course for Beginners?
After the completion of this Artificial Intelligence Course for Beginners, learners will be able to:
- Acquire a foundational understanding of artificial intelligence (AI) concepts, principles, and techniques.
- Gain a fundamental understanding of AI algorithms, including machine learning, deep learning, and natural language processing, with their applications.
- Equip learners with practical skills in building AI models, performing data analysis, and solving real-world problems using AI techniques.
- Foster critical thinking and problem-solving skills necessary for effective AI development and deployment.
- Foster critical thinking and problem-solving skills necessary for effective AI development and deployment.
Who should take up this Artificial Intelligence (AI) Course for Beginners?
The Artificial Intelligence (AI) Course for Beginners is suitable for anyone who wants to stay up-to-date with the latest advances in AI and wants to build the skills needed to develop and deploy intelligent systems. This course will be ideal for the following professionals:
- Freshers
- Data Scientists
- Data Analysts
- Machine Learning Engineers
- AI Engineers
- NLP Engineers
- Software Developers
Why take up this Artificial Intelligence (AI) Course for Beginners?
Edureka's Artificial Intelligence (AI) Course for Beginners offers numerous benefits that make it an excellent choice for aspiring AI enthusiasts. With Edureka, participants gain access to comprehensive learning materials and expert instruction, ensuring a solid understanding of AI fundamentals. This course provides hands-on experience through practical exercises and projects, allowing participants to apply their knowledge in real-world scenarios.
What are the pre-requisites for this Artificial Intelligence Course for Beginners?
Participants are expected to possess a basic understanding of Python programming language.
What are the system requirements for this Artificial Intelligence Course for Beginners course?
The system requirements for an Artificial Intelligence Course for Beginners course include:
- A laptop or desktop computer with a minimum of 8 GB RAM with an Intel Core-i3 and above processor.
- A stable and high-speed internet connection is necessary for accessing online course materials, videos, and software.
AI Course for Beginners Projects
Fraud Detection Using Machine Learning
Develop a machine learning model to identify fraudulent activities in financial transactions to minimize financial losses and protect against fraudulent activities.Medical Image Analysis Using Deep Learning
Leverage deep learning techniques to analyze medical images, for accurate diagnosis and treatment planning through automated image classification and analysis.Artificial Intelligence For Beginners Course Certification
To unlock Edureka's Artificial Intelligence (AI) Course For Beginners Certification certificate, you must ensure the following:
- Completely participate in this Artificial Intelligence (AI) Certification Training course
- Evaluation and completion of the quizzes and projects listed.
As AI technologies continue to advance and become more integrated into various industries, the demand for skilled AI professionals is on the rise. Careers in AI span across fields such as machine learning, data science, natural language processing, and more. Professionals with adequate knowledge of the domain can drive innovation and solve complex problems. Hence, pursuing a career in AI can be a rewarding choice for individuals passionate about mastering this cutting-edge technology.
After completing the Artificial Intelligence (AI) Course for Beginners certification, you will qualify for various job opportunities in the artificial intelligence field. These positions encompass roles such as:
- Freshers
- Data Scientists
- Machine Learning Engineers
- AI Engineers
- NLP Engineers
- Software Developers
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Artificial Intelligence For Beginners Course FAQs
What is Artificial Intelligence?
Artificial intelligence (AI) refers to the simulation of human actions in machines, allowing them to execute tasks that commonly necessitate human intelligence. This comprises activities like comprehending natural language, identifying patterns, assimilating knowledge from past occurrences, and formulating decisions.
How long will it take to learn the Artificial Intelligence for Beginners course?
The time required to learn the Artificial Intelligence for Beginners course is 12 hours.
Who are the instructors for this Artificial Intelligence for Beginners course?
All the instructors at edureka are practitioners from the industry with a minimum of 10-12 years of relevant experience. They are subject matter experts and are trained by edureka to provide an awesome learning experience to the participants.
What if I miss a class of Artificial Intelligence (AI) for Beginners course?
You will never miss a lecture at Edureka! You can choose either of the two options:
- View the recorded session of the class available in your LMS.
- You can attend the missed session in any other live batch.
What if I have more queries after completion of Introduction to Artificial Intelligence for Beginners Course?
Just give us a CALL at +91 98702 76459/1844 230 6365 (US Tollfree Number) or email at sales@edureka.co.
Will I get placement assistance after completing this Artificial Intelligence For Beginners course?
To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the "create your resume" option.
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