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Online AI and ML training in Norway with certification
Artificial Intelligence (AI) is a highly sought-after and exciting career field in today’s world, as technology such as neural networks, cognitive computing, self-driving cars, and speech recognition continue to advance and become a reality. AI-ML engineers use their programming abilities along with their knowledge in math and computer science to create computer systems that mimic human cognitive processes such as the ability to learn from experiences and identify patterns.
55% Average Salary Hike
45 LPA Highest Salary
Program Features
- Live Instructor- Led Sessions
- Fundamentals to Advanced
- Hands-on Live Projects
- Assignments and MCQs
- Hands-on Learning
- 24*7 Support
Internship Opportunities
Certificate of Completion
100% Job Placement
Artificial Intelligence Course Overview
An Artificial Intelligence (AI) course typically provides an overview of the field of AI and its various sub-disciplines, including machine learning, natural language processing, computer vision, and robotics. The course will typically cover the following topics:
Introduction to AI and its history, including the different approaches and techniques used in AI research.
- Fundamentals of Machine Learning, including supervised and unsupervised learning, decision trees, and neural networks.
- Natural Language Processing (NLP) including language models, sentiment analysis, and text generation.
- Computer Vision, including image processing, object recognition, and image segmentation.
- Robotics, including motion planning, control, and perception.
- Applications of AI, including self-driving cars, speech recognition, and computer gaming.
- Ethics and safety considerations of AI
- Tools and technologies used for AI development, such as TensorFlow, Keras, and PyTorch.
- The course will also introduce students to the latest research in the field of AI and provide opportunities for hands-on experience through projects and assignments.
The course will be beneficial for students who are interested in pursuing a career in AI, machine learning, computer science, or related fields. It will also be beneficial for professionals looking to expand their knowledge and skills in the field of AI.
Artificial Intelligence (AI) is a branch of computer science that deals with creating intelligent computer systems that can perform tasks that would normally require human intelligence, such as recognizing speech, understanding natural language, making decisions, and learning from experience. It involves the use of algorithms, statistical models, and computational techniques to enable computers to simulate human intelligence and perform tasks such as problem-solving, decision-making, and perception.
These subjects are designed in a way that they give an overview of Artificial Intelligence. Some of the topics are:-
- Introduction to Python
- Machine Learning Concepts
- Applied Statistics
- Face Detection
- Sentiment Analyzer
- Reinforcement Learning
- Object Detection
- TensorFlow and Neural Network
- Motion Analysis and Object Tracking
This Artificial Intelligence Course is suitable for.
- 11th and 12th graders and graduates
- Freshers
- Engineers
- Working Professional
There aren’t any. But, basic knowledge of Computer and fundamentals Enroll today to become a certified AI Expert!
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Artificial Intelligence in Job Opportunities
There are a wide variety of jobs available in India related to artificial intelligence (AI). Some examples include:
- AI Engineer: Design, develop, and implement AI-based solutions, including machine learning models, natural language processing systems, and computer vision applications.
- Machine Learning Engineer: Build and maintain machine learning models, and work with big data to improve the performance of AI systems.
- Data Scientist: Use statistical techniques and machine learning algorithms to analyze data, identify trends and patterns, and make predictions.
- NLP Engineer: Design and develop natural language processing systems, including text-to-speech, speech-to-text, and chatbot applications.
- Computer Vision Engineer: Design and develop computer vision systems, including image and video processing, object recognition, and facial recognition.
- Robotics Engineer: Design and develop robotic systems, including autonomous vehicles, drones, and industrial robots.
- Business Analyst: Use data analysis and AI techniques to improve business operations and decision-making.
- Research Scientist: Conduct research in AI and machine learning, and publish papers in academic journals.
- AI/ML Consultant: Provide advice and guidance to organizations on the implementation of AI and machine learning solutions.
- AI/ML product manager: Manage the development, delivery and commercialization of AI and machine learning-based products.
These are just a few examples of the many different types of AI jobs available in India, and the field is rapidly evolving, so new roles and opportunities are likely to arise in the future.
Artificial Intelligence Course Curriculum
- Introduction to AI, Applications
- Machine Learning, Types
- Deep Learning, ANN, Batch Learning
- Web Scrapping, Searching the Tree
- Python basics, Anaconda Setup
- NumPy, Scipy, Pandas, sklearn
- Additional Topic: Operating System
- Digital Image Processing Fundamentals
- Computer Vision concepts
- Introduction to OpenCv
- Image Classification
- Object Detection
- Pose Estimation
- Object Tracking
- Visual Saliency Estimation
Additional Topic: Virtualization
- Natural Language Processing introduction
- Sentiment Analysis
- Machine Translation
- Document Search
- Parts of Speech Tagging and HMM
- Word Embeddings with NN
- Additional Topic: Networking
- Deep Neural Networks
- CNNs, RNNs, GANs
- Autoencoders
- Keras, Tensorflow, Pytorch
- YOLO, ResNets, GoogleNet
- Additional Topic: Cloud
Skills Covered
- Programming (Python and R)
- Natural Language Processing
- Software engineering
- Machine Learning
- Computer Vision
- Ethics and safety
- Data analysis
- Robotics
- Domain expertise
- Mathematical skills (linear algebra, probability, statistics)
- Deep Learning
- Communication
Tool Covered
- Scikit-learn
- PyTorch
- Plotly
- Hadoop
- Git
- ROS
- Keras
- Tensor Flow
- D3.js
- Caffe
- GitHub
- OpenRAVE
- Seaborn
- Matplotlib
- SQL
- NLTK
- Tableau
- OpenCV
- Python
- R Programing
- NoSQL databases
- spaCy
- RStudio
- Gensim
Artificial Intelligence Certification
This Artificial Intelligence course rewards you with a certificate of course completion. This is proof of your diligence and sustained endeavor.
Our Artificial Inteligence Program is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.
The knowledge and Artificial Inteligence skills you’ve gained working on projects, simulations, case studies will set you ahead of the competition.
Talk about your Artificial Inteligence certification on LinkedIn, Twitter, Facebook, boost your resume, or frame it – tell your friends and colleagues about it.
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Artificial Inteligence Training FAQs
This course is meant for candidates with basic knowledge of computer It is suitable for beginners.
If you did not attend the class room session next day we repeat the main tpoics
Yes, If you can’t afford to pay for a Certificate, you can apply for Financial Aid or a Scholarship or discuss through call.
Yes, We provide Free webinar