Artificial Intelligence is the future of IT. It incorporates human intelligence & algorithms to offer comprehensive discernibility into the functionality of the IT systems. The course on Artificial Intelligence at Xebia enables you to learn techniques by which machines demonstrate specific aspects of human intelligence such as learning, reasoning, and self- correction.
100% Placement assistance
300+ Hours of Interactive Learning (170+ hours of live mentoring)
10+ Industry projects, case studies and assignments
Three levels of Machine Learning topics
Become an AI professional and earn (7 Lakhs, with maximum going up to 20+ Lakhs)
E-books and Online Labs for each module
Learn-by-doing, Challenge-driven platform
Capstone project to implement while learning.
On-on-One student mentorship and counselling
Develop your online analytics presence on GitHub.
Masterclass from CXOs
Internship opportunities after completion of course
We provide in-depth training in IT courses that promise high career prospects. Apart from providing experiential learning through Capstone projects and Hackathons, we also provide the students the opportunity to learn-by-doing on our challenge-driven learning platform, Instruct.
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions.
This module introduces the learner with the landscape of AI and Machine Learning, gives a crystal clear understanding of how multiple technologies like Artificial Intelligence, Machine Learning, Deep Learning, NLP, Data Science are related to each other. Morever this module also gives a brief introduction to Deep Learning to the learners.
The core takeaway of this module is the skillset of Python & its packages for Data Analytics. The learner gets to learn python from very basics, going through data types, control flow and functions the learner will get to work on data files, will learn how to import, export, clean, manipulate, visualize, analyse data to generate insights from data to answer business questions. This completion of this module makes the learner an entry level Data Analyst and a Python Programmer.
Best-in-class content by leading faculty and industry leaders in theform of videos, cases and projects, assignments and live sessions.
The objective of this module is to make learner get started with using Machine Learning algorithms, learn and identify different performance metrics to assess quality of ML algorithms. This module takes the learner through all ML algorithms which are widely used in Industry. At the end learner also goes throught Ensemble Learning models like Random Forest, Gradient Boosting Trees and XGBoost.
Learning objectives of this module includes pattern discovery using unsupervised machine learning problems like clustering, anomaly detection and dimensionality reduction. The module also takes the learner through more powerful and highly non linear algorithms like SVM and ANN. The end of this module makes the learner eligible to apply for Entry level Data Scientist jobs.
The learning objectives of this module includes getting started with Deep Learning algorithms, learning and understanding basics of image processing with openCV. The modules introduces the most popular framework used in industry for deep learning and computer vision - TensorFlow to the learners. The modules makes learner work with the most demanding use cases of computer vision in industry like single label and multilabel image classification, using transfer learning for building powerful image classifiers and taggers and working with object localization and object detection using TensorFlow. The end of this module makes the learner an entry level computer vision engineer.
The objective of this module includes make learner getting started with working with text and audio data; working on text vectorization using TFIDF, countvectorzation to perform text classification. The learner also gets to work with most demanding use cases of NLP like Topic modelling, Named Entity Recognition and social media analytics. This module also takes the learner to use deep learning algorithms such as RNN and LSTM to perform text classification, text generation and building chatbots. Finally this module takes the learner through most advanced techniques of NLP by using transfer learning, how to consume popular pretrained models like Elmo, universal sentence encoder and BERT. This module finally makes the learner eligible for the position of NLP Engineer.
This module takes the learner through the approaches of deploying an ML model in production, production common challenges and best practices. The module also introduces the best practices at each phase of an ML lifecycle - data cleaning, feature engineering, overfitting, underfitting, speed improvement and deployment. This module also takes the learner through available cloud services for working with ML projects, pretrained APIs from different cloud service providers and more exclusively through Microsoft Azure services for AI and ML. The end of this module makes the learner an AI Architect and an AI Engineer.
Give your career a big boost with Xebia. Apart from receiving robust training in latest tools and technologies, deserving candidates will also receive a Letter of Intent (LoI) assuring them of a placement at Xebia and in other reputed IT enterprises. On Completion of Couse students will get industry-recognized course completion certificate.
At Xebia, we focus on preparing the students for their dream job. In line with this objective, we have one-one-mentoring, individual coaching, exclusive career portal and live interview sessions for Xebia students.
Some of the best IT professionals are associated with Xebia as trainers and coaches. So, you can get the right mix of academia and industry insights.
18 Years Experience
50+ Authorised Training Partnerships
Europe and India’s No 1 Training Partner
1,00, 000 Professionals Trained
Xebia Academic Alliance Program
Largest producer of Digital Transformation trainings globally
Awarded “Business Leader of the Year” Best Training Company in IT Sector by ET Now in 2019
Xebia Knowledge Platforms DevTheory, Agile NCR, CRUX, XebiCon
Expert Advantage - 1000+ Top Consultants, Globally recognized gurus
Admission at Xebia is a step-by-step process, through which only eligible candidates are selected, trained and certified.
In order to apply for the program, you need to meet all of the following criteria. The applicant should have:
Yes, the program requires you to have enough prior coding experience, we will require you to pass through an aptitude and programming test on C++ to go through the program.
The admissions process is completely online and is customised as per your educational and professional profile. Following are the key steps in the application process:
Yes. You will be required to submit the following documents to Xebia Academy prior to the program start date, a self-attested copy of your undergraduate transcript/degree clearly mentioning your GPA/Grades.
Please note, you will only receive the final admissions offer upon submitting these documents.
The industry is evolving, and it needs skilled people, equipped with the knowledge of the latest tools and industry trends. Thus, specialization helps in bridging that gap and make learners fully industry ready.
Xebia Academy offers a Master course in Artificial Intelligence and Machine Learning which aims to develop a strong foundation by using the principles and technologies that consists of many facets of Artificial Intelligence including logic, knowledge representation, probabilistic models, and machine learning.
This course is best suited for learners seeking to build world-class expertise in Artificial Intelligence and Machine Learning and emerging technologies which helps to stand in the crowd and grow a career in the upcoming technological era. The course is designed to give the learners enough exposure to the variety of applications that can be built using techniques covered under this program. They shall be able to apply AI/ML methods, techniques and tools to the applications.
The learners shall explore the practical components of developing AI apps and platforms. The learners shall be exploring fields such as neural networks, natural language processing, robotics, deep learning, computer vision, reasoning and problem-solving. The key objective is to identify logic and reasoning methods from a computational perspective, learn about agent, search, probabilistic models, perception and cognition, and machine learning.
Artificial Intelligence is one of the fastest-growing sectors in the tech sector. And as you can see clearly, the scope of AI has expanded into many sectors, including healthcare, transport, and security. Due to such growth, multiple industries require the expertise of skilled AI professionals.
To be a proficient AI Engineer, it is essential to tune yourself with the mandatory technical skills. The learner will be educated in both practical and theoretical concepts as pointed below:
Jobs in the artificial intelligence industry are expected to increase by 2.3 million positions by the year 2030, and according to a report produced by Capgemini’s Digital Transformation Institute, 83% of companies that use AI technologies confirm that AI is already contributing to the creation of new jobs. Artificial intelligence is being used for a variety of applications for the purpose of making computers smarter, and below are some of the jobs you can apply for with a degree and certification in AI.
Xebia has a commitment to learners to transform them in excellent professionals. The student just needs to have the passion to learn and will be easily able to cope up with the course. Also needs the required qualification as per the university guidelines.
Xebia is an international network of passionate technologists and pioneering craftsmen, who provide cutting-edge tools, training and consulting services that make businesses work better, smarter and faster. We are a company who are also using these technologies in our projects and we are working live on them.
Xebia has introduced some unique concepts to help learners learn better such as the Agile Learning Lab. This concept provides a world-class learning environment with infrastructure that is proven to be most conducive for collaboration, creative ideation and convenient progress tracking for learners and faculty.
This model faster innovative thinking, problem-solving and collective learning in classrooms where learners can complete not just in their theory and tutorials but also in their practical (lab projects) tutorials with ease.
Xebia is a pioneering IT consultancy and Software Development Company headquartered in Netherlands with offices globally USA, UK, France, Dubai, and India. It has group of highly ambitious craftsmen and delivers high-quality training to cover all aspects of digital transformation- From digital strategy to technology implementation and full stack digital transformation.
The company provide innovative solutions and services to help organization become a digital winner. Xebia’s expertise is in Data & AI, Cloud, DevOps, Business Agility, Security, Training & Learning, Software Development, Product Management and Quality Improvement, empower our brand.
The company have collaborated with multiple top named universities to provide specialized courses in the technologies which are highly demanded in the industry.
At the end of the course Xebia will provide a certification along with that there will be activities such as hackathons, tech sessions and Industry experts sessions, regular webinars and support of mentor.
Xebia will also provide support in getting internships & relevant job opportunities within Xebia and its client network.
The learners will get the following benefits;
Oracle, Capgemini, Accenture, Cognizant, IBM India, CSC and many more.
The Experiential Learning Module is designed to provide learners with hands-on experience on a wide range of technologies, while working on projects that emanate from real-world business scenarios. It not only helps them familiarize with industry standard methodologies and technologies in use by distinct industries, but also helps evaluate and identify – from their own personal experience – the role and/ or projects that they are best suited to work on.
Learners will also be assigned projects/case studies and will be expected to demonstrate the knowledge and concepts learnt in the class. Assessor will be marking learners’ performance on various parameters expected out of program.
Case Study: Refer to real time problems that can be referred to a specific topic mentioned above which caters a particular business/ functional use case, in order to make the sessions intuitive
Exercises: The context of exercises is to ensure a thorough hands on perspective of the sessions and give a programmatic exposure to the attendees. Faculty shall drive that with expressing individual topics via hands on exercises as much as possible to ensure the effectiveness of the sessions
Assignments : To keep the attendees/participants engaged and enhance their learnings beyond live sessions, they shall be given access to a pool of assignments pertaining their credibility of the sessions with regards to the level of complexity, their shall be dedicated offline & online assignments for the participants to accomplish their learning imbibed.
The content is provided by industry leader's, validated by educators and industry partners, and adopted by academic institutions globally.
Our team has worked with industry experts to provide insights on careers that are taking over the job market. The course content is aligned to this market research, which is updated regularly to ensure our material stays relevant to the needs of the industry.
Yes, Xebia is a NL based IT consultancy and Software Development company with offices globally USA, UK, France, Dubai, India.
The Program infuses important software capabilities that are industry specific and market relevant. While the Program is continuously evolving and adding on new capabilities, currently the course and teaching offerings are built around some critical identified capabilities such as DevOps, Big Data, AI, ML, Digital Transformation Engineering.