4.8 (21,700) reviews DKK 3,620
DKK 2,947*
*Offer valid till 24th November 2024
Instructor Led Live Online
Self Learning + Live Mentoring
Customize Your Training
The entire training includes real-world projects and highly valuable case studies.
IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.
• Introduction of python
• Installation of Python and IDE
• Python Variables
• Python basic data types
• Number & Booleans, strings
• Arithmetic Operators
• Comparison Operators
• Assignment Operators
• IF Conditional statement
• IF-ELSE
• NESTED IF
• Python Loops basics
• WHILE Statement
• FOR statements
• BREAK and CONTINUE statements
• Basic data structure in python
• Basics of List
• List: Object, methods
• Tuple: Object, methods
• Sets: Object, methods
• Dictionary: Object, methods
• Functions basics
• Function Parameter passing
• Lambda functions
• Map, reduce, filter functions
• Decorators
• Generators
• Context Managers
• Metaclasses
• Inheritance and Polymorphism
• Encapsulation and Abstraction
• Class methods and static methods
• Special (magic/dunder) methods
• Property decorators - getters, setters, and deletes
• Working with files
• Reading and writing files
• Buffered read and write
• Other file methods
• Logging & Debugger
• Modules and import statements
• SQL Basics
• Creating DB Table
• INSERT, READ, UPDATE, DELETE
• Introduction to MongoDB
• CRUD operations in MongoDB
• namedtuple(), deque, ChainMap,
• Counter, OrderedDict, defaultdict,
• UserDict, UserList, UserString
• Exceptions handling with try-except
• Custom exception handling
• List of general use exception
• Best practice exception handling
• Generators, Iterators
• The Functions any and all
• With Statement
• Data Compression
• A Daytime Server
• Clients and Servers
• The Client and Server Programs
• Classes and Threads
• Multi-threading; thread life cycle
• Regular Expression Syntax
• Group, Split and wildcards
• Quantifiers
• Match, Search and Find all methods
• Character Sequence
• Introduction to OpenCV, Installation
• Basic Operations on Images
• Image Filtering
• Image Classification
• Introduction to GIT
• Basic Git commands
• Introduction to Flask and Installation
• Creating project
• Routing,templates, forms and database integration
• Deployment on render
• Django Introduction and Installation
• Creating a Project
• Django Architecture and File Structure
• Folder Structure, First Django project
• Database and Views, Static Files and Forms
• URL Mapping and Routing
• Defining Models and Relationships
• Database Migrations and Schema Changes
• Querying Data using Django ORM
• Model Forms and Form Validation
• HTML Forms in Django
• Model Forms and Form Validation
• Formsets and Inline Formsets
• File Uploads and Validation
• Deploying Django Applications
• Hosting Options (e.g., Heroku, AWS)
• Project Showcasing and Review
Artificial Intelligence (AI) encapsulates the replication of human thought processes through mechanized systems, particularly within computer frameworks.
Machine Learning operates as a subset of AI, where machines are trained to recognize patterns from data, enabling autonomous predictions or decisions without explicit programming.
In commerce, AI integration entails various applications like automating tasks, deploying chatbots for customer service, predictive data analysis, and tailored marketing strategies, all aimed at boosting operational efficiency and decision-making.
AI represents a broader framework striving to emulate human intelligence, while Machine Learning is a specific methodology within AI focusing on algorithmic learning from data.
Prominent languages in AI development include Python, R, Java, and C++. Python stands out for its user-friendly nature and extensive libraries conducive to AI advancement.
While AI may streamline tasks, its primary aim is to enhance human capabilities rather than replace jobs, leading to a shift in occupational roles and required skills.
Ethical dilemmas in AI progress include concerns about algorithmic bias, privacy breaches, and potential societal impacts such as job displacement and exacerbation of inequalities.
Risks associated with AI include potential misapplications like deepfake technology, cybersecurity vulnerabilities, and unintended consequences stemming from biased algorithms.
AI engineers are tasked with crafting AI models, ensuring data integrity, refining algorithms, and collaborating with interdisciplinary teams.
Top-earning roles in AI include machine learning engineers, data scientists, AI researchers, and AI architects, with salary variations based on experience and location.
Companies actively recruiting AI talent include industry giants like Google, Microsoft, and Amazon, along with startups, research institutions, and various enterprises with interests in AI integration.
Proficiency in AI in Copenhagen can be achieved through online courses, university programs, or specialized training offered by tech entities and educational institutions.
Qualifications for AI roles in Copenhagen typically require a degree in computer science, mathematics, or related fields, along with programming skills and practical experience in AI projects.
High-demand skills for AI careers in Copenhagen include Python proficiency, understanding of machine learning algorithms, strong data analysis abilities, and problem-solving skills.
While certifications can enhance credibility, hands-on experience and project portfolios are often more important for securing AI positions in Copenhagen.
To become an AI engineer in Copenhagen, focus on acquiring relevant skills through education, practical projects, and immersion in the AI community.
The job market for AI professionals in Copenhagen is growing, with increasing demand across sectors such as finance, healthcare, and technology startups.
Transitioning to AI from a different career path is feasible with the acquisition of relevant skills and the development of a strong portfolio showcasing AI proficiency.
Entry-level opportunities in AI for beginners may include roles such as AI research assistants, data analysts, or junior machine learning engineers, prioritizing learning and skill development.
AI in healthcare is utilized for medical imaging analysis, drug discovery, personalized treatment formulations, and streamlining administrative tasks, all aimed at improving diagnostic accuracy and patient outcomes.
The salary of an artificial intelligence engineer in Copenhagen ranges from DKK 795,664 according to an Economic Research Institute report.
DataMites offers a diverse range of AI certifications in Copenhagen, including Artificial Intelligence Engineering, AI Expertise, Certified NLP Expertise, AI Management, and AI Foundations. These certifications encompass comprehensive training across various AI technologies and their practical applications.
Eligibility for DataMites' AI training in Copenhagen varies, welcoming individuals with backgrounds in computer science, engineering, mathematics, or statistics. However, the program also encourages participation from non-technical fields, fostering opportunities for diverse backgrounds to engage and excel in AI training.
The duration of DataMites' AI courses in Copenhagen varies depending on the program, spanning from one month to nine months. Flexible scheduling options, including weekdays and weekends, accommodate diverse participant availabilities.
One can develop AI proficiency in Copenhagen by enrolling in DataMites, an internationally recognized institute specializing in data science and AI. DataMites offers extensive learning opportunities for individuals aspiring to delve into AI within Copenhagen.
DataMites' AI Expert training in Copenhagen equips individuals with a solid understanding of AI fundamentals, machine learning, and practical implementations. Led by industry experts, the program emphasizes hands-on learning, enabling participants to apply AI principles in real-world scenarios across various industries.
DataMites in Copenhagen accepts various payment methods for AI courses, including cash, debit/credit cards (Visa, Mastercard, American Express), checks, EMI, PayPal, and net banking.
Yes, DataMites in Copenhagen incorporates practical projects into its AI courses, offering hands-on experience through Capstone projects and Client Projects, facilitating practical learning.
Yes, participants in Copenhagen have access to help sessions aimed at enhancing understanding of AI topics, providing additional support and clarification.
DataMites in Copenhagen adopts a case study-centric approach to AI training, tailored to meet industry demands and ensure a career-focused educational experience.
DataMites offers online AI training in Copenhagen led by experts, flexible learning options, and hands-on experience. Participants can obtain industry-recognized certification while mastering machine learning and deep learning concepts, supported by career guidance and a vibrant learning community.
The cost of Artificial Intelligence Training in Copenhagen through DataMites varies between DKK 4,776 and DKK 12,709. The final expenses could differ based on factors like the specific course chosen, the duration of the program, and any additional features or services included.
In Copenhagen, AI training sessions at DataMites are led by Ashok Veda, a renowned Data Science coach and AI Expert, supported by mentors with real-world experience from leading companies and institutions.
Flexi-Pass offers flexible learning choices for AI training in Copenhagen, allowing customization of schedules and access to a wealth of learning resources and mentorship.
Upon completion of AI training in Copenhagen at DataMites, participants receive IABAC Certification, globally recognized within the EU framework.
Participants in Copenhagen must bring a valid photo ID, such as a national ID card or driver's license, to obtain participation certificates and schedule certification exams.
In Copenhagen, participants can access recorded sessions or seek mentor guidance for catch-up in case of inability to attend AI sessions.
Yes, participants in Copenhagen can attend demo classes for AI courses before payment, offering a firsthand assessment of program suitability.
Yes, DataMites in Copenhagen provides AI Courses with internships in select industries to offer practical experience in Analytics, Data Science, and AI roles.
Career mentoring sessions in Copenhagen at DataMites are organized by the Placement Assistance Team, offering insights into various career possibilities in Data Science and AI roles.
AI Foundation Courses cover fundamental AI concepts, applications, and real-world examples, catering to beginners with or without technical backgrounds, including machine learning, deep learning, and neural networks.
The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -
The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.
No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.
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