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Certificate in Artificial Intelligence

Rs.5,000 Rs.2,500

Enroll your course today to avail 50% discount offer, Diploma is valid for all type of Employment.

Artificial intelligence (AI) refers to the simulation or approximation of human intelligence in machines. The goals of artificial intelligence include computer-enhanced learning, reasoning, and perception. AI is being used today across different industries from finance to healthcare.

Description

Course Name: Certificate in Artificial Intelligence

Course Id: CAI/Q1001.
Education Qualification: 12th Pass.

Duration: 90 Hrs.

How You will Get Diploma Certificate:

Step 1- Select your Course for Certification.

Step 2- Click on Enroll Now.

Step 3- Proceed to Enroll Now.

Step 4- Fill Your Billing Details and Proceed to Pay.

Step 5- You Will be Redirected to Payment Gateway, Pay Course and Exam Fee by Following Options.

Card(Debit/Credit), Wallet, Paytm, Net banking, UPI and Google pay.

Step 6- After Payment You will get Study Material Login id and Password on your email id.

Step 7- After Completion of  Course Study give Online Examination.

Step 8- After Online Examination you will get Diploma Certificate soft copy(Scan Copy) and Hard Copy(Original With Seal and Sign).

Step 9- After Certification you will receive Prospect Job Opportunities as per your Interest Area.

Online Examination Detail:

Duration- 60 minutes.
No. of Questions- 30. (Multiple Choice Questions).
Maximum Marks- 100, Passing Marks- 40%.
There is no negative marking in this module.

Marking System:
S.No. No. of Questions Marks Each Question Total Marks
1 10 5 50
2 5 4 20
3 5 3 15
4 5 2 10
5 5 1 5
30 100
How Students will be Graded:
S.No. Marks Grade
1 91-100 O (Outstanding)
2 81-90 A+ (Excellent)
3 71-80 A (Very Good)
4 61-70 B (Good)
5 51-60 C (Average)
6 40-50 P (Pass)
7 0-40 F (Fail)

Benefits of Certification:

  • Government Authorized Assessment Agency Certification.
  • Certificate Valid for Lifetime.
  • Lifetime Verification of Certificate.
  • Free Job Assistance as per your Interest Area.
Syllabus

Introduction Artificial Intelligence- :  Humans intelligent, Devices intelligent, Human brain and neurons, Neural nets, Human agent, Robotic agent, Rational Agent, Human agent, Robotic agent, Rational Agent.

Application of Artificial Intelligence : Commerce and education, Information systems and data mining, Information security and infrastructure, Anti-spam filtering and email virus detection, Image processing and human-computer interaction, Data compression, Robotics, Route planning.

Neural Networks : Neuron model and network architectures, Hamming network, Recurrent Layer, Hopfield network, Conjugate gradient, Steepest descent algorithm, conjugate vectors are independent, Analysis of convergence, Adaptive noise cancellation.

Machine Learning: Taste of machine learning, Density estimation, Online learning and boosting, Kernels and function spaces, Linear models, Conditionally normal models, Kernel principal component analysis, A regularized risk minimization viewpoint.

Basics of pytorch : Deep learning revolution, Pytorch for deep learning, Hardware and software requirements, A pretrained network that describes scenes, Generalized tensors are tensors, Volumetric data.

Deep Learning : Historical trends in deep learning, Math and machine learning basics, Linear algebra, Probability and information theory,  Numerical computation , Machine learning basics, Deep feed forward networks, Parameter norm penalties, Convolutional networks.

Job Opportunities after completion of Certificate in Artificial Intelligence course:

After successful completion of the Certificate in Artificial Intelligence (AI) program, graduates acquire foundational knowledge and practical skills in AI technologies, machine learning, deep learning, natural language processing, robotics, and data analysis. With AI being one of the most rapidly advancing fields, graduates can explore a wide variety of career options in industries such as technology, finance, healthcare, manufacturing, and more.

Career Options for Graduates

  1. AI Engineer
    • Role: AI Engineers develop machine learning models, neural networks, and AI systems to automate tasks, optimize processes, and improve decision-making. They work with algorithms, big data, and computer vision.
    • Salary Range: ₹5,00,000 to ₹12,00,000 annually (entry-level); ₹15,00,000 to ₹25,00,000 annually (experienced).
    • Industries: IT, e-commerce, healthcare, manufacturing, automotive, and robotics.
  2. Machine Learning Engineer
    • Role: Machine Learning Engineers focus on designing and developing algorithms that enable machines to learn from data and make predictions. They implement ML models into production systems.
    • Salary Range: ₹6,00,000 to ₹12,00,000 annually (entry-level); ₹15,00,000 to ₹30,00,000 annually (experienced).
    • Industries: IT, software companies, healthcare, automotive, and fintech.
  3. Data Scientist
    • Role: Data Scientists leverage AI and machine learning to analyze and interpret large datasets, derive meaningful insights, and make data-driven decisions. They often build predictive models and work with unstructured data.
    • Salary Range: ₹6,00,000 to ₹12,00,000 annually (entry-level); ₹15,00,000 to ₹30,00,000 annually (experienced).
    • Industries: IT, finance, healthcare, e-commerce, and consulting.
  4. AI Research Scientist
    • Role: AI Research Scientists conduct research to advance the development of AI techniques and methodologies. They work on cutting-edge projects in areas such as reinforcement learning, computer vision, and natural language processing.
    • Salary Range: ₹8,00,000 to ₹15,00,000 annually (entry-level); ₹20,00,000 to ₹40,00,000 annually (experienced).
    • Industries: Research organizations, tech giants, academia, and healthcare.
  5. AI Consultant
    • Role: AI Consultants work with businesses to identify areas where AI can be implemented to improve performance, efficiency, and decision-making. They guide organizations in AI strategy and solution implementation.
    • Salary Range: ₹5,00,000 to ₹8,00,000 annually (entry-level); ₹12,00,000 to ₹25,00,000 annually (experienced).
    • Industries: Consulting firms, IT services, fintech, and e-commerce.
  6. Robotics Engineer
    • Role: Robotics Engineers design and develop robots using AI technologies. They work on creating autonomous robots that can perform tasks in industries such as manufacturing, healthcare, and logistics.
    • Salary Range: ₹5,00,000 to ₹10,00,000 annually (entry-level); ₹12,00,000 to ₹20,00,000 annually (experienced).
    • Industries: Manufacturing, automotive, aerospace, healthcare, and logistics.
  7. Natural Language Processing (NLP) Engineer
    • Role: NLP Engineers specialize in enabling machines to understand and interpret human language. They work on applications like chatbots, voice assistants, and language translation tools.
    • Salary Range: ₹6,00,000 to ₹10,00,000 annually (entry-level); ₹12,00,000 to ₹20,00,000 annually (experienced).
    • Industries: IT, e-commerce, customer service, and healthcare.
  8. AI Application Developer
    • Role: AI Application Developers create AI-powered applications such as voice assistants, image recognition software, and recommendation engines. They integrate AI functionalities into user-facing applications.
    • Salary Range: ₹5,00,000 to ₹9,00,000 annually (entry-level); ₹10,00,000 to ₹18,00,000 annually (experienced).
    • Industries: IT, fintech, healthcare, and software development.
  9. AI Product Manager
    • Role: AI Product Managers oversee the development and deployment of AI products. They work with cross-functional teams to define product requirements, manage project timelines, and ensure the successful implementation of AI-driven solutions.
    • Salary Range: ₹8,00,000 to ₹12,00,000 annually (entry-level); ₹15,00,000 to ₹25,00,000 annually (experienced).
    • Industries: IT, software companies, e-commerce, and tech startups.
  10. AI Trainer
    • Role: AI Trainers are responsible for training machine learning models using large datasets. They fine-tune algorithms to improve accuracy and performance. In some cases, they may also train AI systems to understand specific tasks.
    • Salary Range: ₹4,00,000 to ₹7,00,000 annually (entry-level); ₹8,00,000 to ₹15,00,000 annually (experienced).
    • Industries: IT, education, and research organizations.

Salary Overview by Experience

  • Entry-Level (0-2 years experience): ₹4,00,000 to ₹8,00,000 annually
  • Mid-Level (3-5 years experience): ₹8,00,000 to ₹15,00,000 annually
  • Experienced (5+ years experience): ₹15,00,000 to ₹40,00,000 annually

Industries Hiring AI Graduates

  • Information Technology (IT)
  • Healthcare
  • Finance and Banking
  • E-commerce
  • Automotive
  • Manufacturing
  • Telecommunications
  • Education and Research
  • Robotics
  • Consulting

Conclusion

A Certificate in Artificial Intelligence opens the door to numerous career opportunities in one of the most promising and fast-growing sectors. Graduates can pursue roles such as AI Engineer, Data Scientist, Machine Learning Engineer, and AI Consultant across various industries. With AI’s increasing role in transforming business operations, the demand for skilled professionals in this field is high. As a result, AI graduates enjoy lucrative salary prospects and long-term career growth, especially as they gain more experience and expertise in specialized areas like machine learning, robotics, and natural language processing.

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