Udacity Artificial Intelligence Courses & Certifications

This Artificial Intelligence for Trading certification course is crucial in the world of trading. Big companies use AI analysis to gain investments as it efficiently mitigates risks of the future. This in the end saves ample time and money for the company. Big companies use AI analysis to gain investments as it efficiently mitigates risks of the future. This in the end saves ample time and money for the company.

The Artificial Intelligence for Trading certification by Udacity will make the candidate ready for the future of trading and technology. Master your skills and make yourself stand out of the box in the industry with the Nanodegree Programme in AI for Trading. Become field ready for your job by this finely stitched programme by our faculty which will build you and your skills in every area that is necessary from the comfort of their own home. 

Be the best in the field by getting trained under the best who have experience in the industry. The Artificial Intelligence for Trading certification by Udacity is for the candidates who are ambitious and are keen to make their career and future in the field of Artificial Intelligence.

The Self-Driving Car Engineer programme is an exclusive Nanodegree course at Udacity, which encompasses all the key concepts and skills required to become a self-driving car engineer. This course houses numerous industry-relevant projects and renowned experts to help you learn invaluable skills and concepts such as computer vision, deep learning, localisation, controllers, sensor fusion, automotive hardware, vehicle kinematics, and more. 

The Self-Driving Car Engineer course by Udacity also provides you with the rare chance to run your code on Carla, Udacity’s very own autonomous vehicle, to see the real implementation of the skills you have learned. The course provides features such as a flexible learning module to suit your packed schedules, technical mentor support, personal career coaches, and experienced project reviewers to make your learning experience an efficient one.

Moreover, the Self-Driving Car Engineer training curriculum has been designed in partnership with tech and automotive giants such as BMW, DiDi, Uber ATG, NVIDIA, Mercedes, and McLaren. That gives the candidates an excellent opportunity to master the fundamentals while learning from the best in the industry.

The AI Product Manager certification by Udacity has been specially designed and conceptualized to give the learners an understanding of the AI concepts. The curriculum has been structured in such a way to ensure that the learners develop the skills required to evaluate the business value of an AI product and to ensure the success of the product by focusing on potential biases, scalability, and compliance. 

The learners will discover how to assess an AI product's commercial value. They will familiarize themselves with the basic Artificial Intelligence ideas and become adept at them. Then they will learn how to scope and construct a data collection, train a model, and assess its business impact. The learners will then develop the skills required to evaluate the business value of an AI product and to ensure the success of the product by focusing on potential biases, scalability, and compliance.

The AI Product Manager certification by Udacity is a two months online Nanodegree programme with flexible learning hours. The curriculum includes real-world projects built in partnership with top-tier companies, classroom mentorship, moderated forums, and personalized project review by experts for each project. The student hub and workspace have been made available for the convenience of the participants.

The framework of the Artificial Intelligence certification by Udacity has been designed and created in a way to give the learners an understanding of the classical AI algorithms. Projects included in the curriculum will enable the participants to develop the skills used in Artificial Intelligence applications for logistics, automation, operations research, and more. The programme also includes algorithms, linear algebra and advanced programming skills that are mentioned in several AI Applications. 

The duration for the Artificial Intelligence online is three months. Since it is a flexible learning hour programme, it is easy and convenient for candidates to pursue it. While pursuing the curriculum, candidates will be able to get access to classroom learning, personalized project reviews by academy experts and built in partnerships of real world projects with top notch companies. Also, to make it easy for candidates, there has been technical mentor support and student hub facility as well. 

The Artificial Intelligence certification by Udacity programme pedagogy is structured and conceptualized in a way that the experts make it an interactive learning session. The experience is world class. Candidates will learn the programme with interviews, exercises, quizzes, videos and much more. 

Artificial Intelligence (AI) as a domain boasts of long and rich history, a rapidly transforming present, and an actively evolving future. With the Intro to Artificial Intelligence course by Udacity, you will dive deep into the fundamentals of modern AI. Here, you will also explore the representative applications of AI. The instructors use interactive quizzes, rich learning content, exercises, etc., to teach you.

Besides, the Intro to Artificial Intelligence training aims to excite you about the enormous amounts of possibilities and applications available in the field of AI. You will also witness how AI is continuing to broaden the horizons of human capability beyond the imagination of humankind.

This Intro to Artificial Intelligence course is an intermediate-level study. It requires you have substantial probability theory and linear algebra understanding since the training builds upon the same. The free-of-cost programme has an approximate timeline of four months.

Moreover, the Intro to Artificial Intelligence course syllabus comprehensively covers probability uncertainty, statistics, Bayes networks, logic, machine learning, planning. The curriculum also focuses on computer vision and image processing, robot motion planning, robotics, Natural Language Processing (NLP), and more.

By bringing quick and smart behaviour to the required locations, Edge AI applications are revolutionising the IoT industry now. The Nanodegree program  Intel® Edge AI for IoT Developers certification by Udacity will teach the aspirants how to build and optimise Edge AI systems using the Intel® Distribution of OpenVino™ Toolkit. They will learn how to construct efficient computer vision and deep learning inference applications, and execute pre-trained deep learning models for computer vision on-premise. They will become adept at using the Intel® DevCloud for the Edge to test model performance on different hardware types (FPGA, CPU, VPU, and Integrated GPU). They'll be able to employ software tools to refine deep learning models and thus enhance the performance of Edge AI systems.

The Intel® Edge AI for IoT Developers certification by Udacity is a 3-month programme. There will be 10 hours of class per week. Flexible learning is an advantage of this programme so that candidates can schedule their own study time. There will be a chat interface built within the classroom called Student Hub. Through Student Hub candidates can interact with each other. The Intel® Edge AI for IoT Developers certification course offers real-world industry-relevant projects that will help. candidates build their expertise in Artificial Intelligence and the Internet of Things.

Artificial Intelligence (AI) is the medium, through which, algorithms are built to make computers think and act like us, the humans. Vast data is generated by us daily, which has led to even more aggressive data management and data analysis. AI makes use of this analysed data to enable the computers to make complex decisions based on the data. AI has boosted the technological advancements, and developers are deeply involved in making the machines more humanlike. 

Today, we witness the use of AI in many everyday scenarios involving financial services, retail purchases, fraud detection and customer support as well as interaction. AI has far more potential to grow as the future of complex decision making. For businesses, AI has proved to a boon by managing global supply chains, deriving marketing decisions, conducting predictive analysis, optimising operations and improving customer service. AI has assisted companies, irrelevant of their size and scale, to design, produce and deliver their products and services more efficiently than ever. This has led to rising in demand of AI practitioners.

Through the AI Programming with Python online course, Udacity aims to impart skills and knowledge on AI programming tools to prepare a cadre of AI-skilled personnel to meet the demand of their potential employers. This programme will cover 5 courses and 2 real-world projects, which is estimated to be of 3-month duration by working for 10 hours/week. Participants will be provided with mentor support, personalised feedback on projects and career guidance during the course of the programme.

The Artificial Intelligence for Robotics certification course is a free course of two months, where the training will be provided via an online platform. The course is offered by Georgia Tech Masters in Computer Science. The course will include the final project as the evaluation criteria for the certification. The Artificial Intelligence for Robotics training provided is of the advanced level. This course will cover the fundamentals of artificial intelligence, such as planning and search, probabilistic inference, localization, control, and tracking, focusing on robotics. The candidate will get Artificial Intelligence for Robotics certification as the course will end. The course will be taught by the industry pros themselves. In total, the Artificial Intelligence for Robotics certification syllabus contains six lessons that will be covered in two months.

Knowledge-Based AI: Cognitive Systems training is a core programme in artificial intelligence offered by the Udacity learning platform. Since this is an advanced-level course, it involves significant independent work, readings and challenging assignments and projects. 

Moreover, the Knowledge-Based AI: Cognitive Systems curriculum covers the structured knowledge representations, knowledge-based problem-solving methods, along with planning, learning and decision-making. The syllabus includes nine lessons that are further divided into multiple topics. 

The Knowledge-Based AI: Cognitive Systems programme has been designed to fulfil three learning goals. The first goal is teaching the methods, concepts and prominent issues related to knowledge-based Artificial Intelligence (AI). The second goal is to teach the specific abilities and skills required to apply the concepts to designing knowledge-based AI. And the third goal is to understand the relationship between knowledge-based AI and human cognition. 

Additionally, the Knowledge-Based AI: Cognitive Systems online course is a free-to-learn course that will run for an approximate duration of seven weeks and allow you to learn at your convenience, pace, and from the comfort of your home.

The AI for Business Leaders certification by Udacity is ideally best suited for business leaders, managers, and business executives involved in taking strategic decisions in their company. The candidates post pursuing this programme will be able to evaluate proposals both impacting in terms of technical and business feasibility. The AI for Business Leaders certification course can help entrepreneurs, CEOs, etc. navigate their way through the world of Artificial Intelligence. The past decade has witnessed the rise of artificial intelligence in a way that brought a massive transformation in the field of workplace and computer science. 

The AI for Business Leaders certification by Udacity through real case studies equips the candidates with the ability to formulate strategic questions, develop proposals for evaluating opportunities to integrate artificial intelligence technology and machine learning processes into a business plan. With the capstone project, they will build an AI-based approach that could be deployed within organizations. 

With the need for accessing personal data increasing, it is essential for you to excel in protecting user privacy. While there are umpteen privacy use cases unsolved, in recent years, privacy-preserving technologies have developed. The Secure and Private AI certification course introduces you to three groundbreaking privacy-preserving technologies, including differential privacy, federated learning, and encrypted computation.

You will also master the usage of OpenMined's PySyft and deep learning tools such as PyTorch. These offer distributed and cryptographic technologies for safely training Artificial Intelligence (AI) based models on distributed private data. You can also participate in Facebook’s Secure and Private AI Scholarship Challenge. It will help you enrol in the Secure and Private AI training and win the Deep Learning or Computer Vision Nanodegree programme scholarship.

Secure and Private AI programme from Facebook is an advanced-level free course. It runs for nearly two months and provides rich learning content, interactive quizzes, a self-paced learning approach, and industry professionals’ mentorship. Besides, you will learn by doing exercises.  

Artificial Intelligence provides students with a platform to learn from AI experts like Sebastian Thrun, Peter Norvig, and others. The course over the period of four months will comprehensively cover the various applications and uses of AI. The online course on Artificial Intelligence by Udacity has been designed by industry experts. The students will be covering the important chapters of  Bayes Nets, Probability, Logic and planning, Constraint Satisfaction, Basics of search, Game playing, and others. The Artificial Intelligence training will comprehensively cover all the details of AI. Practice sessions for the students will be provided. Instructor videos will be made available to the students. The students can learn easily by doing the exercises. The course will be conducted by experts and professionals from the industry. Thus, the Artificial Intelligence course has been designed comprehensively for the students.