60 Hrs
3126+ Enrollments
Artificial Intelligence Training
The Artificial Intelligence Training course is an in-depth training program that provides students with the knowledge and skills required to develop intelligent machines. It covers various AI topics, such as Machine Learning, Deep Learning, Natural Language Processing, and Robotics, among others. Our experienced trainers will provide hands-on training on the latest AI tools and technologies.
Artificial Intelligence Training
Overview of Course
Our Artificial Intelligence Training course is designed to provide a comprehensive understanding of AI concepts, tools, and techniques. It covers topics such as Machine Learning, Deep Learning, Natural Language Processing, and Robotics, among others. This course is perfect for individuals who want to learn about the latest trends and developments in the field of Artificial Intelligence.
Course Highlights
Hands-on training on the latest AI tools and technologies
Real-world examples and case studies
Experienced trainers with industry experience
Key Differentiators
Personalized Learning with Custom Curriculum
Training curriculum to meet the unique needs of each individual
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Trusted by over 100+ Fortune 500 Companies
We help organizations deliver right outcomes by training talent
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Flexible Schedule & Delivery
Choose between virtual/offline with Weekend options
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World Class Learning Infrastructure
Our learning platform provides leading virtual training labs & instances
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Enterprise Grade Data Protection
Security & privacy are an integral part of our training ethos
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Real-world Projects
We work with experts to curate real business scenarios as training projects
Skills You’ll Learn
Machine Learning techniques
Deep Learning concepts
Natural Language Processing (NLP)
Robotics and automation
Neural Networks
Python programming
AI model deployment
Training Options
1-on-1 Training
Access to live online classes- Flexible schedule including weekends
- Hands-on exercises with virtual labs
- Session recordings and learning courseware included
- 24X7 learner support and assistance
- Book a free demo before you commit!
Corporate Training
- Everything in 1-on-1 Training plus
- Custom Curriculum
- Extended access to virtual labs
- Detailed reporting of every candidate
- Projects and assessments
- Consulting Support
- Training aligned to business outcomes
Unlock Organizational Success through Effective Corporate Training: Enhance Employee Skills and Adaptability- Choose customized training to address specific business challenges and goals, which leads to better outcomes and success.
- Keep employees up-to-date with changing industry trends and advancements.
- Adapt to new technologies & processes and increase efficiency and profitability.
- Improve employee morale, job satisfaction, and retention rates.
- Reduce employee turnovers and associated costs, such as recruitment and onboarding expenses.
- Obtain long-term organizational growth and success.
Course Reviews
Curriculum
- Introduction to Artificial Intelligence and Machine Learning
- Evolution of AI and ML
- Types of AI: Reactive, Limited Memory, Theory of Mind, Self-Aware
- Types of ML: Supervised, Unsupervised, Semi-Supervised, Reinforcement
- Applications of AI and ML in various industries
- Ethics and Responsible AI
- Introduction to Python programming language
- Variables, Data Types, and Operators
- Conditional Statements and Loops
- Functions and Modules
- Object-Oriented Programming
- File Handling
- Numpy: Numerical computing in Python
- Pandas: Data manipulation and analysis
- Matplotlib: Data visualization
- Scikit-learn: Machine learning library
- Keras and TensorFlow: Deep learning libraries
- Natural Language Toolkit (NLTK): Natural Language Processing (NLP) library
- Introduction to Data Management
- Data Acquisition and Cleaning
- Data Storage and Retrieval
- Data Warehousing and Mining
- Big Data and Hadoop
- Data Visualization and Reporting
- Introduction to SAS
- Data Preparation and Exploration
- Data Analysis and Reporting
- Advanced SAS Techniques
- SAS Macros and Functions
- SAS Certification
- Introduction to Statistics
- Descriptive Statistics
- Inferential Statistics
- Probability Theory
- Hypothesis Testing
- Regression Analysis
- Introduction to Predictive Analytics
- Data Preprocessing and Feature Selection
- Regression Analysis for Prediction
- Classification Techniques for Prediction
- Time Series Analysis for Prediction
- Model Selection and Evaluation
- Introduction to Machine Learning
- Supervised Learning: Linear Regression, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines (SVM)
- Unsupervised Learning: K-Means Clustering, Hierarchical Clustering, Principal Component Analysis (PCA)
- Model Selection and Evaluation
- Introduction to Artificial Intelligence
- Search Algorithms: Breadth-First Search, Depth-First Search, A* Search
- Game Playing: Minimax Algorithm, Alpha-Beta Pruning
- Knowledge Representation and Reasoning
- Natural Language Processing
- Computer Vision
- Introduction to Deep Learning
- Artificial Neural Networks
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Autoencoders
- Transfer Learning
- Advanced CNN Architectures: VGG, ResNet, Inception, Xception
- Generative Adversarial Networks (GANs)
- Object Detection and Recognition
- Image Segmentation
- Natural Language Generation
- Reinforcement Learning
- Introduction to Cloud Computing
- AWS Fundamentals
- Compute Services: EC2, Lambda, Elastic Beanstalk
- Storage Services: S3, EBS, Glacier
- Database Services: RDS, DynamoDB
- Networking Services: VPC, Route 53, CloudFront
- Introduction to Tableau
- Data Connections and Preparation
- Data Visualization with Tableau
- Calculations and Expressions
- Dashboards and Stories
- Advanced Tableau Features
Meet the instructor and learn about the course content and teaching style.- Make informed decisions about whether to enroll in the course or not.
- Get a perspective with a glimpse of what the learning process entails.
Description
Target Audience:
- Students and graduates looking to start a career in AI
- Professionals looking to upskill in AI and related technologies
- Entrepreneurs interested in implementing AI in their businesses
Prerequisite:
- Basic programming knowledge
- Familiarity with mathematics and statistics
- Basic knowledge of linear algebra and calculus
Benefits of the course:
- Learn from experienced trainers with industry experience
- Hands-on training on the latest AI tools and technologies
- Real-world examples and case studies
- Industry-recognized certification
- Access to a community of AI professionals
Exam details to pass the course:
- There will be a final exam at the end of the course.
- The passing score for the exam is 70%.
Certification path:
- Certification in Artificial Intelligence (CAI)
- Certification in Machine Learning (CML)
- Certification in Deep Learning (CDL)
Career options:
- AI Developer
- Machine Learning Engineer
- Data Scientist
- AI Researcher
- Robotics Engineer
Why should you take this course from Skillzcafe:
Experienced trainers with industry experience- Hands-on training on the latest AI tools and technologies
- Real-world examples and case studies
- Industry-recognized certification
- Access to a community of AI professionals
- Flexible learning options
FAQs
Basic programming knowledge, familiarity with mathematics and statistics, and basic knowledge of linear algebra and calculus.
The course duration is 60 hours.
The passing score for the exam is 70%.
Yes, this course is suitable for beginners who have a basic understanding of programming, mathematics, and statistics.
Yes, you can access the course material even after completing the course.
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