Certificate in Artificial Intelligence

Description Course Name: Certificate in Artificial Intelligence Course Id: CAI/Q1001. Eligibility: 10th Grade (high school) or Equivalent. Duration: Two Month. Objective: This course provides a comprehensive introduction to the fundamental concepts and techniques of artificial intelligence, including machine learning, natural language processing, computer vision, and intelligent agent design. It equips learners with the knowledge to understand, develop, and apply AI algorithms and systems to address complex problems across various industries. 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 Certificate in Artificial Intelligence Graduates of this program gain foundational knowledge in AI concepts, machine learning basics, data handling, automation, and intelligent systems, preparing them for entry-level roles in IT, analytics, and emerging tech domains. Key Career Options: AI Assistant/Junior AI Engineer, Machine Learning Assistant, Data Analyst (Entry Level), AI Support Executive, Business Intelligence Assistant, Automation Analyst, Chatbot Developer (Basic Level), Python Developer (AI Basics), Research Assistant (AI), Technical Support (AI Tools). Salary Range (India):Entry-level: ₹3–6 LPAMid-level: ₹6–12 LPASenior-level: ₹12–30 LPA (with experience and advanced skills) Industries Hiring Graduates: IT & Software Companies, Startups (AI/Tech), E-commerce Companies, FinTech Firms, Healthcare Technology, EdTech Companies, Digital Marketing Agencies (AI tools), Manufacturing & Automation Industries, Consulting Firms. Skills Developed: AI fundamentals, machine learning basics, data analysis, Python programming (basic), automation tools, problem-solving, logical thinking, and understanding of intelligent systems. Graduates can progress to roles like AI Engineer, Data Scientist, Machine Learning Engineer, or specialize further through advanced certifications and hands-on projects, building a strong portfolio in artificial intelligence and data science.