4.8 (22,500) reviews Euro 610
Euro 496*
*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) represents the emulation of human cognitive processes by machines, particularly computer systems.
Machine Learning operates within AI as a technique where machines are trained to recognize patterns within data, enabling them to make decisions or predictions without explicit programming.
Within the business sphere, AI applications span from automation and customer service chatbots to predictive analytics and personalized marketing, all of which enhance operational efficiency and decision-making processes.
While AI encompasses a broader spectrum aiming to replicate human intelligence, Machine Learning is a specific subset within AI that focuses on enabling algorithms to learn from data patterns.
Popular programming languages in AI include Python, R, Java, and C++, with Python being particularly favoured for its simplicity and rich libraries catering to AI development.
AI may automate certain tasks, but its primary function is to augment human capabilities rather than completely replace jobs, resulting in shifts in job roles and skill requirements.
Ethical concerns in AI development encompass issues such as algorithmic bias, privacy breaches, and potential societal impacts such as job displacement and exacerbation of inequalities.
Risks associated with AI include misuse through technologies like deepfakes, cybersecurity threats, and unintended consequences stemming from biased or inadequately designed algorithms.
AI engineers are responsible for tasks such as developing AI models, ensuring data quality, optimizing algorithms, and collaborating with interdisciplinary teams.
The highest-paying roles in AI include machine learning engineer, data scientist, AI researcher, and AI architect, with salaries varying based on experience and geographical location.
Companies actively seeking AI professionals include tech giants like Google, Microsoft, and Amazon, alongside startups, research institutions, and firms across various industries investing in AI.
In Athens, learning AI can be pursued through online courses, university programs, or specialized training offered by tech companies and educational institutions.
Qualifications for an AI role in Athens typically include a degree in computer science, mathematics, or related fields, along with proficiency in programming and hands-on experience in AI projects.
In Athens, AI careers demand skills such as proficiency in Python, knowledge of machine learning algorithms, data analysis capabilities, and strong problem-solving skills.
While certifications can enhance credibility, practical experience and a robust project portfolio often hold more weight for securing AI roles in Athens.
Becoming an AI engineer in Athens involves focusing on acquiring relevant skills through education, practical projects, and networking within the AI community.
The job market for AI professionals in Athens is burgeoning, with increasing demand across diverse industries including finance, healthcare, and technology startups.
Transitioning to AI from another career is feasible with a commitment to learning relevant skills and building a strong portfolio showcasing proficiency in AI.
Entry-level AI positions for beginners may include roles like AI research assistant, data analyst, or junior machine learning engineer, providing opportunities for learning and skill development.
In healthcare, AI finds application in tasks such as medical imaging analysis, drug discovery, personalized treatment planning, and administrative automation, aiming to enhance diagnostic accuracy and patient outcomes.
According to a report from the Economic Research Institute, artificial intelligence engineers in Greece earn an annual salary ranging from EUR 51,328.
DataMites extends a variety of AI certifications in Athens covering domains like Artificial Intelligence Engineering, AI Expertise, Certified NLP Expertise, AI Management, and AI Foundations. These certifications provide comprehensive training across different facets of AI technologies and their practical implementations.
Eligibility criteria for DataMites' artificial intelligence courses in Athens vary, welcoming individuals from diverse backgrounds. While candidates with backgrounds in computer science, engineering, mathematics, or statistics are commonly eligible, the courses also cater to those from non-technical fields. DataMites ensures inclusivity, offering opportunities for anyone intrigued by AI to participate and excel in their training.
The duration of an Artificial Intelligence course in Athens with DataMites varies depending on the specific program chosen, ranging from one month to nine months. The institute provides flexible training schedules on both weekdays and weekends to accommodate participants' availability.
For those seeking to delve into AI in Athens, DataMites stands as a prominent choice. Renowned internationally for its expertise in data science and AI, DataMites offers extensive learning opportunities tailored to individuals aspiring to explore the depths of AI.
Engaging in Artificial Intelligence training with DataMites in Athens equips participants with a robust understanding of AI fundamentals, machine learning techniques, and practical applications. Led by industry professionals, the curriculum emphasizes hands-on learning, empowering individuals to leverage AI principles in real-world scenarios and excel across various industries.
DataMites in Athens provides a multitude of payment options for Artificial Intelligence training, including cash, debit/credit cards (Visa, Mastercard, American Express), checks, EMI, PayPal, and net banking, catering to diverse preferences.
Certainly, DataMites in Athens integrates practical learning through 10 Capstone projects and 1 Client Project as part of its Artificial Intelligence courses. These projects facilitate hands-on experience, enabling participants to apply theoretical knowledge to real-world scenarios.
Yes, in Athens, DataMites offers assistance sessions aimed at enhancing participants' understanding of Artificial Intelligence topics. These sessions provide additional support and clarification to ensure thorough comprehension.
DataMites in Athens adopts a case study-based approach to Artificial Intelligence training. The meticulously crafted curriculum, designed by expert content teams, aligns with industry demands, fostering a career-oriented learning experience.
Enrolling in DataMites' online Artificial Intelligence training in Athens grants access to expert-led instruction, flexible learning options, and practical experience. Participants earn industry-recognized IABAC certification while mastering machine learning and deep learning concepts, supported by career guidance and a supportive learning community.
The fee for Artificial Intelligence Training in Athens at DataMites ranges from EUR 640 to EUR 1,703 varying based on factors such as the chosen course, program duration, and additional features or services included.
At DataMites Athens, Artificial Intelligence training sessions are led by Ashok Veda, a respected Data Science coach and AI Expert, supported by elite mentors with real-world experience from leading companies and prestigious institutions such as IIMs.
The Flexi-Pass option for AI training in Athens offers flexible learning choices, granting participants access to a wide array of learning resources and mentorship. This accommodates diverse learning speeds and personal commitments, enhancing the educational experience.
Yes, upon completion of AI training with DataMites in Athens, participants receive IABAC Certification, recognized within the EU framework. The curriculum adheres to industry standards and is globally accredited by IABAC, ensuring the attainment of credentials acknowledged in the field of Artificial Intelligence.
Participants attending AI training sessions in Athens with DataMites are required to bring a valid photo ID, such as a national ID card or driver's license, to obtain participation certificates and schedule certification exams.
In case of inability to attend an AI session in Athens, participants can access recorded sessions or seek mentor guidance to catch up, ensuring continuous progress despite occasional absences.
Yes, individuals in Athens have the opportunity to attend demo classes for Artificial Intelligence courses before making any payments, enabling them to evaluate the suitability of the program firsthand.
Indeed, DataMites offers Artificial Intelligence Courses in Athens coupled with internships in selected industries, providing practical experience in Analytics, Data Science, and AI roles to enhance career prospects.
The DataMites Placement Assistance Team (PAT) organizes career mentoring sessions for participants in Athens, guiding them on various career possibilities in Data Science and AI. Industry experts offer insights into potential challenges and strategies for overcoming them, ensuring participants are well-prepared for their professional journey.
The AI Foundation Course caters to beginners, offering comprehensive insights into AI fundamentals, applications, and real-world examples. It accommodates individuals with or without technical backgrounds, covering topics such as 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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