Artificial Intelligence Courses Diploma in Delhi

Artificial Intelligence Courses can teach you about many amazing concepts related to internet-connected devices and their behavior. With that, you can use your devices more effectively with better security measures.

These courses are specially designed under the supervision of professional Artificial Intelligence Experts who can deliver the best security solutions to companies using IoT Devices.

Artificial intelligence has become one of the most powerful tools in the world and can conquer 89% of the world without any hesitation. What are you waiting for? Let’s start learning, how it works!

Artificial Intelligence Course Highlights

Foundational AI ideas, practical application through projects, and hands-on programming with languages like Python are usually included in an AI and Machine Learning course. In addition to exploring deep learning frameworks and fundamental machine learning techniques, students also acquire proficiency in data preprocessing and model deployment for practical applications.

The curriculum frequently incorporates ethical issues and looks at a range of applications in different sectors of the economy. Following are some of the things that get focused on in the Artificial Intelligence Course:

S.No. Factors Responsibility
1. Foundational Concepts ●        Knowing the fundamentals of deep learning, machine learning, and artificial intelligence.

●        Investigating AI-related statistical models and algorithms.

2. Programming Skills ●        Learning Python or other programming languages that are frequently used in AI development.

●        Practical knowledge of well-known AI frameworks and libraries, such as PyTorch and TensorFlow.

3. Data Handling and Preprocessing ●        Methods for gathering, sanitizing, and getting ready data for AI models.

●        Investigating techniques and tools for data visualization.

4. Machine Learning Techniques ●        Three types of learning: reinforced, unsupervised, and supervised.

●        Algorithms for dimensionality reduction, clustering, regression, and classification.

5. Deep Learning ●        The architecture and design of neural networks.

●        Deep learning models such as Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs).

6. Natural Language Processing (NLP) ●        Use AI to comprehend and process human language.

●        Uses for chatbots, sentiment analysis, and language translation.

7. Computer Vision ●        AI approaches for the analysis of images and videos.

●        Face recognition, image segmentation, and object detection.

8. AI Ethics and Responsible AI ●        Talking about the moral concerns of AI technology.

●        Techniques for making AI systems accountable, transparent, and fair.

9. Real-world Applications ●        Case studies and initiatives using AI to address real-world issues.

●        Applications unique to a given industry, such as those in finance, healthcare, and autonomous cars.

10. Capstone Projects ●        Completing a big project that shows off your grasp of AI principles.

●        Cooperation using real-world datasets or industrial partners.

11. Guest Lectures and Industry Involvement ●        Asking professionals in the field to share their knowledge.

●        Possibilities for networking, internships, and industry relationships.

12. Continuous Learning ●        keeping up with the most recent developments in artificial intelligence through conferences, workshops, and other resources.
13. Certifications and Recognition ●        Granting qualifications or certifications after completion with achievement.

●        Complying with credentials and norms accepted in the business.

Artificial Intelligence Certificate Course

If you want to learn Artificial Intelligence, you can get in contact with Bytecode Security which is offering a Diploma in Artificial Intelligence Course for IT Aspirants who want to enhance & improve their knowledge & skills in Artificial Intelligence.

Bytecode Security offers the “Artificial Intelligence Training Course in Laxmi Nagar,” which is specially designed to introduce the amazing concepts related to Artificial Intelligence. Moreover, you can test your knowledge & skills via the virtual labs offered on the premises of Bytecode Security.

After the completion of the mentioned training & certification program, students will receive a certificate validating their skills and knowledge in Artificial Intelligence in front of the companies they are applying for.

With that, you don’t have to worry about job opportunities. Bytecode Security offers you 100% Job Placement Assistance. What are you waiting for? Contact, Now!

Artificial Intelligence Courses Online

  • Bytecode Security – One of the reputed institutes to offer online courses for Artificial Intelligence is Bytecode Security, which offers training & certification for IT professionals who want to learn amazing Artificial Intelligence concepts under the guidance of professionals.
  • Craw Security – The more you listen, the more you want to know. That’s the case with Craw Security which is offering the “Artificial Intelligence Course in Delhi” with the online sessions option for the students who can’t attend the classes offline at the premises. What are you waiting for? Get it now!
  • edX – Working with prestigious universities such as MIT and Harvard, edX offers expert-developed courses that guarantee an excellent educational experience. The platform enhances student engagement and the practical application of AI principles by incorporating interactive features like quizzes and hands-on projects.

Professionals in the sector generally accept edX certificates, which give learned AI skills more legitimacy and open doors for job progression.

Free Artificial Intelligence Courses

Some of the places where one can learn Artificial Intelligence freely are as follows:

  • YouTube:

There are a lot of AI channels that offer helpful tutorials and explanations, such as “3Blue1Brown” and “Sentdex”. Sites such as “TensorFlow” and “PyTorch” provide official channels featuring real-world examples and talks.

A dynamic learning environment is promoted by having access to a broad range of AI-related content, from basic to advanced levels.

  • Books:

Aurélien Géron’s book “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” provides helpful advice for novices. Stuart Russell and Peter Norvig’s “Artificial Intelligence: A Modern Approach” is an extensive textbook for in-depth knowledge.

Sebastian Raschka’s “Python Machine Learning” is a useful manual that emphasizes coding exercises and implementation.

  • Ebooks:

Free AI ebooks are available on sites like Project Gutenberg and OpenStax, including well-known works like Andrew Ng’s “Machine Learning Yearning”. Deep learning topics are covered in detail in the free online book “Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville.

Numerous AI research papers and ebooks are available for free download on websites like arXiv and Springer.

  • Articles:

There are a ton of AI articles on Medium and Towards Data Science, covering everything from basic beginnings to complex subjects. Pedro Domingos’ “A Few Useful Things to Know About Machine Learning” offers practitioners insightful information.

Scientific publications available on arXiv and Google Scholar provide access to the latest developments and breakthroughs in artificial intelligence.

Artificial Intelligence Eligibility Criteria

The prerequisites for a course on artificial intelligence can change depending on the institution and program. But typical prerequisites could be as follows:

  • Educational Background:

A bachelor’s degree in an appropriate field, such as mathematics, computer science, engineering, or a similar field.

  • Programming Skills:

Proficiency in the Python programming language, which is widely utilized in AI development.

  • Mathematics Foundation:

A solid grasp of basic mathematical ideas, such as probability, linear algebra, and calculus.

  • Computer Science Fundamentals:

Familiarity with fundamental computer science concepts and algorithms.

  • Prior Experience:

It may be preferred by some schools or mandatory for applicants to have prior experience in data science or machine learning.

  • English Proficiency:

It may be necessary to demonstrate English language proficiency—typically through standardized tests like the TOEFL or IELTS—to enroll in courses taught in that language.

  • Specific Course Prerequisites:

Completion of introductory AI or machine learning courses may be a prerequisite for some higher AI courses.

Artificial Intelligence Course Syllabus

Module 01: Overview of Artificial Intelligence Module
Module 02: Intelligence System Module
Module 03: Research Areas of Artificial Intelligence Module
Module 04: Agents and Environment Module
Module 05: Popular Search Algorithms Module
Module 06: Fuzzy Logic System Module
Module 07: Natural Language Processing Module
Module 08: Expert Systems Module
Module 09: Robotics Module
Module 10: What are Artificial Neural Networks (ANNs)?
Module 11: Artificial Intelligence Issues Module
Module 12: Artificial Intelligence Terminology

Top Artificial Intelligence Colleges

  • Indian Institute of Technology (IIT), Madras
  • Indian Institute of Technology (IIT), Bombay
  • Indian Institute of Technology (IIT), Roorkee
  • Indian Institute of Technology (IIT), Jammu
  • Indian Statistical Institute (ISI), Kolkata
  • Indian Institute of Information Technology (IIIT), Hyderabad
  • Birla Institute of Technology and Science (BITS), Pilani
  • Delhi Technological University (DTU), Delhi
  • Anna University, Chennai
  • Malaviya National Institute of Technology, Jaipur

Artificial Intelligence Jobs & Salary

S.No. Job Profiles Job Description Salaries
1. Machine Learning Engineer/ Scientist Creating systems, methods, and models for machine learning. ₹6,00,000 – ₹15,00,000/ annum.
2. Data Scientist Making informed business decisions through the analysis and interpretation of complicated data sets. ₹5,00,000 –  ₹12,00,000/ annum.
3. Artificial Intelligence Engineer Working with machine learning frameworks and algorithms to design and deploy AI solutions. ₹6,00,000 – ₹15,00,000/ annum.
4. Natural Language Processing (NLP) Engineers Create machines that can comprehend and produce human language. ₹6,00,000 –  ₹14,00,000/ annum.
5. Computer Vision Engineer Completing visual perception exercises like video and image analysis. ₹6,00,000 – ₹14,00,000/ annum.
6. AI Research Scientist Create new algorithms, publish articles, and carry out research to progress the subject of artificial intelligence. ₹8,00,000 –  ₹20,00,000/ annum.
7. Robotics Engineer Creating and designing automation solutions and robotic systems. ₹6,00,000 –  ₹15,00,000/ annum.
8. AI Product Manager Supervising the creation and application of AI products. ₹10,00,000 –  ₹25,00,000/ annum.
9. AI Ethicist Addressing moral issues in the creation and application of AI. Salaries may vary; this role is relatively new.
10. AI Consultant Giving companies advice on the application, strategy, and optimization of AI. ₹8,00,000 –  ₹20,00,000/ annum.

Top Recruiters

  • Accenture
  • Amazon
  • IBM
  • Deloitte
  • ai
  • HireVue
  • LinkedIn
  • Microsoft
  • Tata Consultancy Services

Artificial Intelligence Courses: FAQs

About Artificial Intelligence Courses Diploma in Delhi

1. Is there a Diploma in Artificial Intelligence?

Yes, you can get in contact with Bytecode Security, which is offering a diploma course for Artificial Intelligence for IT Aspirants who want to change their game in Artificial Intelligence Skills & Knowledge under the guidance of professionals in the IT Sector. What are you waiting for? Contact, Now!

2. How long is the AI Diploma course?

The amazing “Artificial Intelligence Training Course in Laxmi Nagar” offered by Bytecode Security comes with a duration of 60 Hours.

3. Can I do Artificial Intelligence after the 10th?

Yes, if you want to do Artificial Intelligence after the 10th standard, you can first gather knowledge & skills under the premises of Bytecode Security which is offering a specially customized training & certification program for IT Aspirants. What are you waiting for? Contact, Now!

4. What qualifications are required for AI?

Following are some of the qualifications required for joining the Artificial Intelligence course:

  • Educational Background,
  • Programming Skills,
  • Mathematics Foundation,
  • Computer Science Fundamentals,
  • Prior Experience,
  • English Proficiency, and
  • Specific Course Prerequisites.

5. Can I join AI after the 12th?

Yes, you can join the AI course after completing the 12th standard. Bytecode Security is offering training for students who want to learn Artificial Intelligence under the guidance of professionals. What are you waiting for? Join, Now!

6. Can I get a job in AI?

Indeed, there are AI employment opportunities in India due to the increasing need for individuals with artificial intelligence skills in a variety of industries.

7. What is artificial intelligence?

A subfield of computer science called artificial intelligence (AI) is concerned with building machines that are capable of learning, solving problems, and making decisions—tasks that traditionally require human intelligence.

8. What will be the future of AI in the workforce?

By 2024, it’s anticipated that AI will play a bigger part in India’s workforce thanks to a greater integration of AI technology across businesses, which will change jobs and create new ones requiring AI expertise.

9. What are the top companies that hire AI engineers?

The top recruiters for AI engineering are as follows:

  • Accenture
  • Amazon
  • IBM
  • Deloitte
  • ai
  • HireVue
  • LinkedIn
  • Microsoft
  • Tata Consultancy Services

10. What is the difference between artificial intelligence and machine learning?

Machine learning (ML) is a branch of artificial intelligence (AI) that focuses on creating algorithms that let computers recognize patterns in data and make decisions without explicit programming.

AI is a more general term that includes machines doing tasks that normally require human intelligence. ML is essentially a major technology that propels the development of AI applications.

11. Does Artificial Intelligence require coding?

Yes, working with and building Artificial Intelligence systems requires coding expertise, especially in languages like Python.

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