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Artificial Intelligence (AI) Course For Beginners
Artificial Intelligence (AI) Course For Beginners
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Why enroll for Artificial Intelligence (AI) Course For Beginners?
Artificial Intelligence for Beginners Course Benefits
AI-related job creation will cross into positive territory, reaching two million net new jobs in 2025. The AI Beginners Course 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
AI Skills for Beginners
AI Tools for Beginners
Artificial Intelligence For Beginners Course 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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Artificial Intelligence Beginners Course
About AI Beginners Course
Edurekaโs Artificial Intelligence for Beginners 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 AI Beginners Course?
After the completion of this Artificial Intelligence for Beginners 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 Beginners Course?
The Artificial Intelligence for Beginners Course 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 AI Beginners Course?
Edureka's AI Beginners Course 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 AI Beginners Course?
Participants are expected to possess a basic understanding of Python programming language.
What are the system requirements for this Artificial Intelligence for Beginners course?
The system requirements for an Artificial Intelligence 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.
What is included in this AI basic course?
AI for Beginners training course includes 15 hours of training, live sessions, lifetime access, and 24/7 support and you will learn the skills of Data Visualization, ML Model Building, Building Chatbots, etc, and get industry-relevant projects, Quizzes & Assignments.
What are the other AI related courses provided by Edureka?
Edureka offers various AI-related courses such as Artificial Intelligence Certification Course , ChatGpt Course , Machine Learning Certification Training .. These courses provide a powerful foundation for AI and ML certification.
AI Beginners Course 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 Certification
To unlock Edureka's AI Beginners Course certificate, you must ensure the following:
- Completely participate in this Artificial Intelligence for Beginners 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 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
John Doe
Title
with Grade X
XYZ123431st Jul 2024
The Certificate ID can be verified at www.edureka.co/verify to check the authenticity of this certificate
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AI 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 AI 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 is the cost of an AI beginners course?
The cost of an AI beginner course is INR 14,999. No-cost EMI is also available, which
Starts at 5,000 / month.
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.
What are the benefits of taking an online course on artificial intelligence for beginners?โ
Online AI for beginners course offers several benefits, such as accessibility, flexible scheduling, cost-effectiveness, comprehensive curriculum, hands-on experience, interactive learning resources, access to expert instructors, community support, career advancement opportunities, and preparation for further study. This course provides an excellent opportunity to explore the field of AI, acquire new skills, and lay the groundwork for a career in AI.
Which is the best AI for beginners course?
Edureka's AI for Beginners course is an ideal choice for individuals who are new to AI and want to learn its basics.
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.
What is the average salary of AI engineer?
According to Glassdoor, the salary for an AI Engineer in India is โน11,03,357 per year. Additionally, the average extra cash compensation for AI Engineers in India is โน1,03,357, ranging from โน76,324 to โน2,49,231.
How do I start learning AI for beginners?
To begin your journey in the field of artificial intelligence, it is recommended that you have a strong foundation in computer science and be well-versed in a programming language, especially Python. After that, it is essential to learn basic algorithms, followed by the principles of machine learning and data science. To apply theoretical knowledge, it is recommended to work on AI projects.
Does Artificial Intelligence require coding?
Yes, For executing algorithms, handling data, training and evaluating models, and deploying solutions coding is required. For developing applications well-known programming languages like Python, R, and Java with libraries like TensorFlow, PyTorch, and Scikit-learn are used.
What is the difference between artificial intelligence and machine learning?
AI is widely focused on replacing human activities such as problem-solving, understanding natural language, and recognizing patterns, etc. ML is like a subset of AI. ML will help AI to learn algorithms to make predictions or decisions based on the present data.
What are the types of artificial intelligence?
Narrow AI, General AI, Superintelligent AI, Reactive Machines, Limited Memory, Theory of Mind, Self-aware AI are seven types of AI. These AI have different kinds of capabilities to handle the tasks.
What are the other Courses on Artificial Intelligence provided by Edureka?
Here is the list of courses offered by Edureka:
When was artificial intelligence invented?
AI started booming in the world in the mid-20th century. The word "Artificial Intelligence" was coined in the year of 1956 at the Dartmouth Conference. Earlier technical people in this domain have discussed creating machines that can replace human intelligence.
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