Description
Course Name: Certificate in Artificial Intelligence
Course Id: CAI/Q1001.
Eligibility: 10th Grade (high school) or Equivalent.
Duration: Two Month.
Objective: The objective of this course is to provide learners with foundational knowledge and practical skills in artificial intelligence (AI) technologies. The course introduces core AI concepts such as machine learning, neural networks, natural language processing, and computer vision, while also focusing on real-world applications and ethical implications. It prepares participants for careers in AI development, data science, and intelligent system integration.
How to Enroll and Get Certified in Your Chosen Course:
Step 1: Choose the course you wish to get certified in.
Step 2: Click on the “Enroll Now” button.
Step 3: Proceed with the enrollment process.
Step 4: Enter your billing details and continue to course fee payment.
Step 5: You will be redirected to the payment gateway. Pay the course and exam fee using one of the following methods:
Debit/Credit Card, Wallet, Paytm, Net Banking, UPI, or Google Pay.
Step 6: After successful payment, you will receive your study material login ID and password via email within 48 hours of fee payment.
Step 7: Once you complete the course, take the online examination.
Step 8: Upon passing the examination, you will receive:
• A soft copy (scanned) of your certificate via email within 7 days of examination.
• A hard copy (original with official seal and signature) sent to your address within 45 day of declaration of result.
Step 9: After certification, you will be offered job opportunities aligned with your area of interest.
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) | ||||
Key Benefits of Certification- Earning a professional certification not only validates your skills but also enhances your employability. Here are the major benefits you gain:
Practical, Job-Ready Skills – Our certifications are designed to equip you with real-world, hands-on skills that match current industry demands — helping you become employment-ready from day one.
Lifetime Validity – Your certification is valid for a lifetime — no renewals or expirations. It serves as a permanent proof of your skills and training.
Lifetime Certificate Verification – Employers and institutions can verify your certification anytime through a secure and reliable verification system — adding credibility to your qualifications.
Industry-Aligned Certification –All certifications are developed in consultation with industry experts to ensure that what you learn is current, relevant, and aligned with market needs.
Preferred by Employers – Candidates from ISO-certified institutes are often prioritized by recruiters due to their exposure to standardized, high-quality training.
Free Job Assistance Based on Your Career Interests – Receive personalized job assistance and career guidance in your preferred domain, helping you land the right role faster.
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
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
