4Achievers offers a comprehensive Artificial Intelligence Training course in Delhi NCR designed to equip students with the knowledge and skills to build intelligent systems using AI technologies. Our course covers key concepts like machine learning, neural networks, natural language processing, and deep learning. Whether you're a beginner or an experienced professional, our hands-on approach ensures that you learn AI in a practical and real-world context.
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For more details about Artificial Intelligence Training in Delhi NCR, call 8010805667.
4Achievers is a leading Artificial Intelligence Training institute in Delhi NCR, offering an advanced Artificial Intelligence Training program to students eager to delve into the world of AI technologies. The course is designed to provide a deep understanding of AI concepts like machine learning, deep learning, natural language processing (NLP), and neural networks. At 4Achievers, students not only learn theoretical concepts but also gain practical, hands-on experience through live projects. Our curriculum focuses on the latest AI trends and tools, ensuring students are job-ready and prepared for real-world challenges in the AI domain.
| Feature | Description |
|---|---|
| Live Project Work | Work on real AI applications and projects, enhancing practical skills. |
| Placement Assistance | Comprehensive job placement support, including resume workshops and interview coaching. |
| Experienced Trainers | Learn from AI professionals who bring practical industry insights into the classroom. |
| Advanced IT Labs | Fully-equipped labs with AI tools like TensorFlow, Python libraries, and data science platforms for hands-on practice. |
| Module | Topics Covered | Skills Gained |
|---|---|---|
| Introduction to AI | Basics of AI, history, applications, and AI types. | Gain foundational knowledge of AI, its scope, and real-world applications. |
| Machine Learning | Supervised learning, unsupervised learning, classification, regression. | Build machine learning models and understand algorithms like SVM, decision trees. |
| Deep Learning & Neural Networks | Understanding neural networks, CNNs, RNNs, and applications in image recognition. | Design and implement deep learning models for complex AI tasks like computer vision. |
| Natural Language Processing (NLP) | Text processing, sentiment analysis, and language modeling. | Develop AI models that understand, interpret, and generate human language. |
| AI in Industry | AI applications in industries like healthcare, finance, and robotics. | Understand how AI is transforming various industries and how to apply AI in business contexts. |
| Benefit | Description |
|---|---|
| Real-World Exposure | Live projects ensure that students can apply concepts to real-world AI challenges, giving them hands-on experience. |
| Job-Ready Skills | Students learn the most in-demand AI skills that are sought after in the tech industry, preparing them for high-paying roles. |
| Mentorship and Support | Continuous guidance from experienced trainers and mentors throughout the course, ensuring a smooth learning journey. |
| Industry-Relevant Curriculum | Our course material is regularly updated to match the latest trends in AI, keeping students ahead of the curve. |
At 4Achievers, we offer a structured and hands-on approach to Artificial Intelligence Training in Delhi NCR. With expert trainers, live projects, and world-class IT labs, we ensure that our students are well-equipped to succeed in the rapidly growing AI industry. Whether you're looking to build a career in machine learning, data science, or AI applications, 4Achievers provides the best training experience to help you achieve your goals.
At 4Achievers, a leading Artificial Intelligence Training institute in Delhi NCR, we incorporate Agile methodology into our Artificial Intelligence Training program to enhance the learning experience. Agile practices, known for their flexibility, collaboration, and continuous improvement, are an excellent fit for the dynamic and rapidly-evolving field of AI. By using Agile, students learn not only AI concepts but also essential skills such as project management, teamwork, and adaptability that are crucial in the tech industry.
Sprint Planning
Daily Stand-ups
Sprint Review
Sprint Retrospective
| Agile Activity | Description | Objective |
|---|---|---|
| Sprint Planning | Students break down their AI tasks into smaller manageable goals. | Organize work and set realistic targets for each learning sprint. |
| Daily Stand-ups | A quick meeting where students update each other on their progress and challenges. | Encourage daily communication, accountability, and teamwork. |
| Sprint Review | Students demonstrate their AI models and present their progress to the group. | Share results, learn from feedback, and make improvements. |
| Sprint Retrospective | A reflective session where students discuss the sprint's challenges and successes. | Improve processes and adapt learning strategies for future sprints. |
| Agile Activity | Benefit |
|---|---|
| Sprint Planning | Helps students stay focused and manage their learning more efficiently. |
| Daily Stand-ups | Builds a collaborative environment, enabling quick identification of issues. |
| Sprint Review | Provides valuable feedback from instructors and peers, improving work quality. |
| Sprint Retrospective | Helps students reflect on their learning and adopt better practices. |
Real-World Simulation: By working in sprints and using Agile methodologies, students get a feel for how AI projects are managed in real-world environments. This gives them the experience they need to excel in their future careers.
Collaboration: Agile emphasizes teamwork, and students regularly collaborate on AI projects, sharing knowledge, code, and ideas. This promotes peer learning and enhances problem-solving skills.
Continuous Improvement: The iterative nature of Agile allows students to constantly refine their skills, whether it’s understanding an AI model or optimizing their code. Each sprint brings new learning opportunities and growth.
Increased Efficiency: Agile helps students stay focused and organized, reducing the chances of missing important concepts in the AI training curriculum. This structured approach helps improve learning speed and outcomes.
By integrating Agile activities into the Artificial Intelligence Training at 4Achievers, students are not just learning AI; they are preparing for real-world roles in AI development, where Agile practices are widely used. The Python Django training methodology ensures a dynamic and interactive learning experience that helps students build technical and soft skills simultaneously. Agile activities ensure students are always on track, continuously improving, and ready to handle complex AI projects.
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If you have been wanting to be a part of Technology, but are not sure of where to start, then 4Achievers is the right place for you! With our state-of-the-art training facilities and immersive classroom programs, we will prepare you for tomorrow's digital world. We offer a comprehensive curriculum that covers every aspect of technology, from programming languages to software development tools. We also provide on-site coaching sessions that will help bridge the gap between theory and practical applications. And what makes us stand apart from other institutes is our commitment to quality education. All our faculty members are industry experts who have years of experience in their respective fields. From top MNCs like Netflix and Microsoft, to startup companies like Udemy and Wootric, they have vast expertise that can be applied in real life scenarios.
Joining 4Achievers Artificial Intelligence Training in Delhi ? We are a technology-based training institute that offers best-in-class courses on various technologies. Our trainers teach students how to use the latest tools and applications so they can be productive and make the most of their skills.
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4Achievers courses are designed to help you learn new skills, access new opportunities, and develop new career paths. We offer a wide range of courses, all of which are designed to help you reach your goals. So, if you're looking to learn new things, or take your current skills to the next level, look no further than 4Achievers.
We think that knowledge is power, and we want to give you the tools you need to achieve your goals. So be sure to check out our website frequently for the latest Course Program and Syllabus!
4Achievers Placement Assistance is the perfect solution for students who have failed in securing a job after graduation. 4Achievers provide them with the necessary resources and guidance to help them find the best job possible.
4Achievers team of professionals has extensive experience in the completing course, placement field, and we are always on standby to help our students. Contact us today to learn more about our program!
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If you're looking to upskill your team in the latest technology, you need the right classroom infrastructure. At Artificial Intelligence Training in Delhi Training Institute, we offer courses that cater to various industries and businesses. Our classrooms are equipped with all the latest gadgets and software, so your employees can learn at their own pace.
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Are you looking for an Artificial Intelligence course in Delhi? 4achievers is offering a comprehensive Artificial Intelligence course near you that will help you gain the skills and knowledge you need to become an AI expert. This course is designed to provide you with an in-depth understanding of the fundamentals of Artificial Intelligence and its applications.
You will learn about the different types of Artificial Intelligence, including supervised and unsupervised learning, natural language processing, and deep learning. You will also learn about the various algorithms and techniques used in AI, such as decision trees, neural networks, and reinforcement learning. Additionally, you will gain hands-on experience in building AI applications and projects.
Knowledge representation is the process of encoding facts, concepts, and rules into a format that computers can understand. There are many different techniques used in knowledge representation, such as ontologies, frames, semantic networks, semantic web, logic, production rules, and object-oriented approaches. Ontologies are used to represent the relationships between concepts and classes of objects, frames are used to represent objects with attributes and values, semantic networks are used to represent relationships between concepts or objects, semantic web is used to connect data from different sources, logic is used to represent facts and rules, production rules are used to define an action based on a given condition, and object-oriented approaches are used to represent objects and their interactions.
A knowledge base is a collection of information and data that is used to create and support understanding of a subject or topic. 4Achievers typically consists of facts, definitions, concepts, theories, and other related information that is organized in a way that allows for easy access and retrieval. Knowledge bases can be used to help people find answers to questions, solve problems, and gain insight into a particular topic. They can be found online, in textbooks, or in various other sources. Knowledge bases can be used in many different fields, such as education, business, law, and medicine.
A knowledge base is used in artificial intelligence to store data that can be used to inform decision making. 4Achievers typically stores facts, rules and other types of information that can be used to provide insights and generate solutions. AI systems can use the knowledge base to find answers to questions, detect patterns in data, and develop strategies for problem solving. By accessing the stored data, AI systems can make decisions and take actions more quickly and accurately.
An expert system is a computer program that uses artificial intelligence (AI) to mimic the decision-making process of a human expert. 4Achievers is designed to solve complex problems by reasoning through pieces of information and using knowledge-based rules and algorithms. An expert system is composed of a knowledge base and an inference engine. 4Achievers knowledge base contains information about a particular problem domain, such as medical diagnoses or legal advice. 4Achievers inference engine uses the knowledge base to analyze data and make decisions. Expert systems can be used to supplement or replace human experts in a variety of fields, including medical diagnosis, financial advice, and engineering.
An expert system is a computer program that is designed to mimic the behavior of a human expert in a particular field. 4Achievers components of an expert system include:
1. Knowledge Base: This is a collection of facts, rules and heuristics about the problem domain.
2. Inference Engine: This is the component that interprets the knowledge base and applies logical reasoning to make decisions and recommendations.
3. User Interface: This is the component of the system that interacts with the user. 4Achievers allows the user to input data, ask questions, and receive answers.
4. Explanation Facility: This component of the system provides an explanation of the decision-making process and the reasoning used to reach a conclusion.
5. Database: This is a collection of data related to the problem domain.
6. Learning Facility: This component is used to improve the accuracy and performance of the expert system. Through machine learning, the system can learn from its experience and modify its knowledge base accordingly.
Ontology is a branch of philosophy that deals with the study of the nature of being, becoming, existence, or reality. 4Achievers is the study of the categories of existence, the kinds of things that exist in the world and the relationship between them. Ontological study seeks to determine what entities exist in the world and what relationships exist between them. 4Achievers also focuses on understanding how entities are related to each other, how they interact, and how they are organized. Ontology examines the structure and properties of these entities and the relationships between them. Ontology provides a framework for understanding and defining the world, as well as for classifying and representing knowledge about the world.
Ontology and knowledge bases are related concepts in computer science and information technology. 4Achievers main difference between them is the scope of their use. Ontology is a formal representation of a set of concepts and relationships that define a domain of knowledge, typically used in artificial intelligence and related areas. 4Achievers is a way to represent knowledge in a structured, organized way. On the other hand, a knowledge base is a collection of facts or pieces of information used for problem solving or decision making. A knowledge base can be structured in many different ways, including ontologies, but is typically used for more specific tasks and provides a more limited scope of use. In other words, an ontology is a general-purpose tool while a knowledge base is more specialized.
Ontology is a branch of philosophy that deals with the nature of existence and how things are organized and related to one another. 4Achievers seeks to understand what is real and how the world works. On the other hand, an expert system is a computerized system that uses rules and facts to solve a problem in the same way that a human expert would. An expert system typically relies on a knowledge base to store facts, rules, and other information related to the problem domain and uses artificial intelligence techniques to draw conclusions from the information. 4Achievers main difference between ontology and an expert system is that ontology is a philosophical concept while an expert system is a computerized system. Ontology focuses on understanding the nature of reality and how things are related, while an expert system focuses on using facts and rules to arrive at a solution.
A chatbot is a computer program designed to simulate a real-life conversation with a human user. 4Achievers chatbot is usually powered by artificial intelligence and can use natural language processing to understand the user’s input and provide an appropriate response. Commonly, chatbots are used to help automate customer service inquiries, provide helpful information, provide automated responses to common questions, and more. Chatbots are becoming increasingly popular and are being used in a wide variety of applications, from health care to banking and travel. By using natural language processing, chatbots are able to provide an almost human-like interaction and can provide the user with a more engaging and personalized experience.
Chatbots are computer programs that are designed to simulate conversation with humans. They can be used in a variety of ways, including customer service, information retrieval, entertainment, and more. Some of the most common types of chatbots include:
1. Text-based chatbots: These are the most common type of chatbot and use natural language processing (NLP) technology to understand and respond to user input. They are able to provide responses based on predetermined keywords or phrases, making them useful for customer service, information retrieval, and more.
2. Voice-based chatbots: These chatbots use voice recognition and natural language understanding (NLU) technology to interpret user commands and respond accordingly. They are useful for tasks such as voice-controlled home automation, customer service, and more.
3. Artificial intelligence (AI) chatbots: These chatbots use advanced AI algorithms to understand and respond to user input. They are able to learn from user interactions and can provide more accurate answers than text- or voice-based chatbots.
4. Machine learning (ML) chatbots: These chatbots use machine learning algorithms to understand user input and provide more accurate, personalized responses. They are useful for tasks such as customer service, product recommendations, and more.
5. Virtual Assistants: These intelligent agents are able to provide personalized assistance to users. They are able to understand and respond to user commands, as well as complete tasks such as scheduling appointments, searching the web, and more.
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First touchpoint for customer Initial handling of all customer tickets Track to closure of customer tickets by assisting the responsible teams System software and AWS/Azure infrastructure L1/L2 support Newgen solution / application L1/L2 support Responsib
Experience: 0 to 4 years Qualification:B.SC, B.Tech/BE/MCA Skills in one or more of JavaScript,CSS, Web application framework viz. Sencha EXT JS, JQuery etc., Delphi,C,C++,or Java..net,testing Cloud Administrator-managing Windows based Servers
Developing and deploying new applications on the windows azure PAAS platform using C#, .net core . Participation in the creation and management of databases like SQL server and MySQL Understanding of data storage technology (RDBMS, NO SQL). Manage applica
Experience of Dev Ops technologies, architectures and processes for 3 yrs Cloud Infrastructures Solutions: AWS EC2 ECS, S3 Cloudfront, RDS, Spot Instances, VPC, IAM, Security Groups, ELB etc), GCP, CI/CD Jenkins Containerization: Docker, Kubernetes System
Must have good knowledge of Google Cloud (GCP), Good To Have- AWS and. Azure Cloud automation, with overall cloud computing experience. Good knowledge of Windows Server and IIS (Internet Information Services). Good knowledge of .NET applications (ASP.Net,
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