Level 1
Introduction to AI
Registrations Open !!
Basic Computer Knowledge
Registrations Open !!
Basic Computer Knowledge
Introduction to Artificial Intelligence is a foundational course that introduces the basic concepts, principles, and applications of Artificial Intelligence (AI). It familiarizes learners with key ideas such as machine learning, data-driven decision making, and intelligent systems. The course aims to build a fundamental understanding of how AI technologies are transforming industries and everyday life.
| Day | Topic | Sub-Topic No. | Sub-Topic Title | Detailed Contents |
|---|---|---|---|---|
| Day 1 | Demystifying Al & the evolution of Al | 1.1 | Course overview & orientation | Introduces the scope, objectives, and structure of the course while giving learners a basic understanding of Artificial Intelligence and its relevance today |
| 1.2 | What is Al? What is not Al? | Explains the definition of Artificial Intelligence and clarifies common misconceptions by distinguishing AI from simple programmed systems. | ||
| 1.3 | Introduction to Generative Al | Provides an overview of generative AI technologies that create new content such as text, images, audio, and code using advanced AI models. | ||
| 1.4 | Demystifying Al - Automation vs Al | Differentiates between rule-based automation and intelligent AI systems that learn and make decisions from data. | ||
| 1.5 | What Powers Al - History of integrated chips and their evolution | Discusses how advancements in integrated circuits, processors, GPUs, and computing power have enabled the growth of modern AI systems. | ||
| 1.6 | Initial application of Al and the motivation behind developing them | Explores the early use cases of AI and the key problems researchers aimed to solve using intelligent machines. | ||
| 1.7 | Current industry leaders | Introduces major companies and organizations leading AI innovation and shaping the future of AI technologies. | ||
| Day 2 | Domains of Al | 2.1 | What are the Three Domains of AI? | Introduces the three major domains of AI: Data, Computer Vision, and Natural Language Processing (NLP), and explains their roles in intelligent systems. |
| 2.2 | Application of Al in each domain | Explores real-world applications of AI in the domains of data analytics, image and video recognition, and language understanding. | ||
| 2.3 | Activities: Working demos of generative Al applications in each domain | Provides hands-on demonstrations of generative AI tools to help learners observe how AI systems create text, images, and other outputs in practical scenarios. | ||
| Day 3 | Al Project Cycle | 3.1 | What is the Al project cycle? Why is it important? | Explains the structured process used to develop AI solutions and highlights its importance in solving real-world problems systematically. |
| 3.2 | What are the different stages of the Al Project Cycle? | Introduces the key stages such as problem scoping, data acquisition, data exploration, modeling, and evaluation involved in building an AI system. | ||
| 3.3 | Generative Al in different stages of the Al project cycle | Demonstrates how generative AI tools can assist in tasks like idea generation, data preparation, model development, and result interpretation. | ||
| 3.4 | Evaluation metrics for Generative Al models | Discusses the methods and metrics used to assess the quality, accuracy, and usefulness of outputs generated by AI models. | ||
| Day 4 | Elements of ML | 4.1 | What is the difference between ML and DL? | Explains the conceptual and architectural differences between Machine Learning and Deep Learning, including their data requirements, model complexity, and applications. |
| 4.2 | What are the different Machine Learning algorithms and their applications? | Introduces common machine learning algorithms such as classification, regression, clustering, and their practical applications across different domains. | ||
| 4.3 | Generative models in ML algorithms | Provides an overview of generative machine learning models that learn data patterns to create new content such as images, text, or audio. | ||
| Day 5 | Elements of DL | 5.1 | What is a Neural Network, and what is the inspiration behind developing them? | Introduces artificial neural networks and explains how they are inspired by the structure and functioning of the human brain. |
| 5.2 | What are some common DL models and their applications? | Provides an overview of popular deep learning models and highlights their use in areas such as image recognition, speech processing, and natural language understanding. | ||
| 5.3 | Overview of Generative Adversarial Network | Explains the basic concept of Generative Adversarial Networks (GANs), where two neural networks compete to generate realistic synthetic data. | ||
| Day 6 | Future Possibilities of AI | 6.1 | What is Quantum computing, and how it can change Al? | Introduces the concept of quantum computing and discusses its potential to significantly enhance AI by enabling faster and more complex computations. |
| 6.2 | Hardware Acceleration for Generative Al | Explains how specialized hardware such as GPUs, TPUs, and AI accelerators improve the speed and efficiency of training and running generative AI models. | ||
| 6.3 | What is AGI? How long will it take Al to achieve it? | Provides an overview of Artificial General Intelligence (AGI) and discusses current perspectives and challenges related to achieving human-level AI. | ||
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Industry Case Studies - IBM Watson, Google DeepMind - AI Recommendation Systems/AI Autonomous Driving Recent Advancements - Gen AI/Multimodal AI/LLMs/ - Edge AI and Tiny AI, Responsible and Ethical AI |
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| Know your Mentor | Contact Number | Email Id | Teaching Experience (in Yrs.) |
| Ms. Ravinder Saini | 9478964586 | ravindersaini.cse@cumail.in | 9+ Years |
The Advanced Credit Program at Chandigarh University provided a perfect blend of academic rigor and flexibility. It enabled me to fast-track my education while gaining in-depth subject knowledge. The structured curriculum ensured clarity and consistency in learning. Faculty members were approachable and supportive at every step. The program enhanced my analytical and problem-solving skills. It truly prepared me for higher academic and professional challenges.
The Advanced Credit Program at Chandigarh University has been a game-changer for my academic journey. It gave me the flexibility to accelerate my studies while exploring subjects in greater depth. The curriculum is structured, industry-relevant, and supported by faculty who genuinely want students to grow. What I appreciated most was how the program helped me build confidence—both academically and professionally—by encouraging higher-level thinking and self-discipline. This program doesn’t just add credits; it adds real value to your learning experience and future opportunities.
"Completing the Introduction to AI course with ACP was a game-changer for my career. The curriculum was incredibly well-structured, providing a clear path from foundational concepts to practical applications like Machine Learning and Natural Language Processing. I especially appreciated the hands-on projects, which allowed me to build my first functional AI model. This course didn't just teach me about AI; it gave me the confidence and skills to actively pursue opportunities in one of the world's most exciting and fastest-growing fields. I highly recommend ACP to anyone looking to make a meaningful pivot into technology!"
The Advanced Credit Program at Chandigarh University has played a transformative role in my academic journey. It offered the flexibility to fast-track my studies while allowing me to delve deeper into key subjects. The well-structured, industry-focused curriculum, combined with the constant support of dedicated faculty, truly enhanced my learning experience. What stood out the most was how the program boosted my academic and professional confidence by promoting critical thinking and self-discipline. This program goes beyond earning extra credits—it meaningfully enriches learning and opens doors to future opportunities.
The Advanced Credit Program at Chandigarh University has been an enriching part of my academic journey. It gave me the flexibility to accelerate my studies without compromising on learning quality. The curriculum is well-structured and closely aligned with industry requirements. Faculty members are supportive and always encourage deeper understanding. The program helped me develop critical thinking and self-discipline. Overall, it added real value to my academic and professional growth.
Being a part of the Advanced Credit Program allowed me to explore subjects beyond the regular curriculum. The flexibility offered by the program helped me manage my time efficiently while learning advanced concepts. The industry-relevant content kept me engaged and motivated throughout. Faculty guidance played a crucial role in my learning process. This program significantly boosted my academic confidence. It has positively impacted my future career outlook.
What I appreciated most about the Advanced Credit Program was its focus on quality learning. The program encouraged independent thinking and a disciplined approach to academics. The industry-oriented curriculum helped me understand real-world applications. Faculty support made complex concepts easier to grasp. I gained confidence in both academic and professional settings. This program goes beyond credits and adds meaningful learning value.
The Advanced Credit Program has played an important role in shaping my academic journey. It offered me the opportunity to learn at an advanced level while maintaining flexibility. The curriculum is thoughtfully designed to meet current industry standards. Faculty mentorship helped me stay motivated and focused. The program improved my critical thinking abilities. It has been a valuable addition to my overall learning experience.
Participating in the Advanced Credit Program was a rewarding experience. It allowed me to strengthen my subject knowledge and progress academically at a faster pace. The structured coursework ensured a smooth learning process. Faculty members provided constant support and guidance. The program helped me build confidence and self-discipline. It has greatly contributed to my academic and professional development.
The Advanced Credit Program at Chandigarh University enhanced my learning experience in many ways. The flexibility of the program helped me balance academics effectively. The curriculum is relevant, practical, and well-organized. Faculty encouragement pushed me to think beyond textbooks. I developed a more analytical and confident mindset. This program truly prepares students for future opportunities.
