ai_ml aicet internship report ppt 1.pptx
- 1. CONTENTS Company Profile Abstract Introduction Objectives Week - 1 Week - 2 Week - 3 Week - 4 Week - 5 Week - 6 Week - 7 Week - 8 Outcomes of Internship Internship Certificate 1
- 2. COMPANY PROFILE • Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud, with more than 200 fully featured services available from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, increase security, become more agile, and innovate faster. • The All-India Council of Technical Education (AICTE) and EduSkills have launched the virtual internship program on cloud technology supported by Amazon Web Services (AWS) with a vision to create an industry ready workforce who will eventually become leaders in emerging technologies. The program has also been organized keeping in mind how the demand for cloud has increased during the pandemic. • Organization vision is to be ‘Skilled India’ and Education for the benefit the education ecosystem by providing 360-degree holistic solutions to all the stakeholders. Mission is to positively impact 1 million beneficiaries by 2024.By comprehensive identification of skills gaps in the students and mapping them with latest and world’s best technical skills. Organization values is to provide innovative learning aids and services in the education sector. To connect industry ready professionals, researchers, advanced learners, educators and entrepreneurs who can take best care of stake holders. To extend cutting-edge research, publications and consultancy. To progress global knowledge and skills for the next generation. • Organization policy is to • Learn to apply the technical knowledge in real industrial situations. • Gain experience in writing technical reports/projects. • Expose students to the engineer’s responsibilities and ethics. 4/25/2024 Second Review - Batch 1 2
- 3. ABSTRACT Artificial Intelligence is one of the booming technologies of computer science, which is ready to create a new revolution in the world by making intelligent machines. AI is now all around us. It is currently working with a variety of subfields, ranging from general to specific, such as self-++-driving cars, playing chess, proving theorems, playing music, painting etc. AI holds a tendency to cause a machine to work as a human. Artificial Intelligence (AI) is a field of computer science that focuses on creating systems and machines capable of performing tasks that typically require human intelligence. These tasks include understanding natural language, recognizing patterns, solving problems, making decisions, and learning from experience. The primary goal of AI is to develop computer systems that can mimic, simulate, or replicate human intelligence to perform tasks intelligently, efficiently, and autonomously. • With the help of AI, we can create such software or devices which can solve real-world problems very easily and with accuracy such as health issues, marketing, traffic issues, etc. • With the help of AI, we can create your personal virtual Assistant, such as Cortana, Google Assistant etc. • With the help of AI, we can build such Robots which can work in an environment where survival of humans can be at risk. • AI opens a path for other new technologies, new devices, and new Opportunities 4/25/2024 Second Review - Batch 1 3
- 4. INTRODUCTION What is AI? Artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience. Since the development of the digital computer in the 1940s, it has been demonstrated that computers can be programmed to carry out very complex tasks—such as discovering proofs for mathematical theorems or playing chess—with great proficiency. Still, despite continuing advances in computer processing speed and memory capacity, there are as yet no programs that can match full human flexibility over wider domains or in tasks requiring much everyday knowledge. On the other hand, some programs have attained the performance levels of human experts and professionals in performing certain specific tasks, so that artificial intelligence in this limited sense is found in applications as diverse as medical diagnosis, computer search engines, voice or handwriting recognition, and chatbots. The content of an 8-week artificial intelligence (AI) and machine learning (ML) internship program may contain • Overview of AI and ML concepts • History and evolution of AI and ML • Machine learning algorithms and types • Foundations of AI, Knowledge representation techniques in AI 4
- 5. INTRODUCTION • Overview of AI and ML concepts • History and evolution of AI and ML • Machine learning algorithms and types • Foundations of AI, Knowledge representation techniques in AI • Approach to Knowledge representation & Expert System • Hands-on coding exercises and real time problems solving and their methods • Mentorship and guidance from experienced AI/ML professionals • Access to datasets and tools (e.g., Python, TensorFlow, PyTorch) • Weekly progress assessments and feedback sessions • Presentation and communication skills development. This is the basic introduction of the internship and the overview of 8 weeks in the internship program. 5
- 6. OBJECTIVES . 6 • Graduates will have the ability to adapt, contribute and innovate new technologies and systems in the key domains of Artificial Intelligence and Machine Learning. • Graduates will be able to successfully pursue higher education in reputed institutions with AI Specialization. • Graduates will have the ability to explore research areas and produce outstanding contribution in various areas of Artificial Intelligence and Machine Learning.
- 7. WEEK - 1 OBJECTIVES OF ACTIVITIES DONE : INTRODUCTION OF AIML AND OVERVIEW OF SOME CONCEPTS 7 Day & Date Brief description of the daily activity Learning Outcome Day - 1 Introduction to AI-ML It helps me in preparing for the upcoming trends in the IT professional job market. Day - 2 How to Create account in AWS I learned how to access AWS account. Day - 3 Overview of AI and ML concepts Brief introduction to AI & ML concepts was learned Day - 4 Advantages & Disadvantages of AI I learned what are the benefits in it and got an idea to minimize its flaws Day - 5 History of AI It helps me to know background and development of AI in its early stages Day - 6 Module Assignment -1 Undergone through a online assessment
- 8. WEEK - 2 OBJECTIVES OF ACTIVITIES DONE : INTELLIGENT SYSTEM, CATEGORIZATION OF INTELLIGENT SYSTEM, COMPONENTS OF AI,FOUNDATION OF AI 8 Day & Date Brief description of the daily activity Learning Outcome Day - 1 Introduction to Intelligent System Learnt about Intelligent System Day - 2 Detailed explanation of ELIZA AI Learned about the ELIZA intelligence system and its importance Day - 3 Categorization of Intelligent System Different types of intelligent system used in software were known Day - 4 Components Of AI Concept of different components required for Building an AI is known Day - 5 Foundations Of AI Learned about foundations of AI Day - 6 Module Assignment -2 Undergone through a online assessment
- 9. WEEK - 3 OBJECTIVES OF ACTIVITIES DONE : BRIEF DESCRIPTION OF CURRENT TRENDS IN AI, PROBLEM REDUCTION & SEARCH TECHNIQUES 9 Day & Date Brief description of the daily activity Learning Outcome Day - 1 Current Trends in AI Learned about trends and their working Day - 2 Problem reduction & Game Playing Solved real time problems Day - 3 Search Techniques Uses of search techniques Day - 4 BFS & DFS BFS and DFS algorithm and its examples Day - 5 Min Max Algorithm Brief explanation Min Max algorithm Day - 6 Module Assignment -3 Undergone through a online assessment
- 10. WEEK - 4 OBJECTIVES OF ACTIVITIES DONE : BRIEF DESCRIPTION OF KNOWLEDGE REPRESENTATION, SEMANTIC NETWORK, KR USING FRAMES 10 Day & Date Brief description of the daily activity Learning Outcome Day - 1 Knowledge representation (KR) Briefing about Knowledge representation Day - 2 Approaches of knowledge Representation Rules and Steps to represent a knowledge in AI Day - 3 Knowledge Representation Using Semantic Network Significance of Semantic network Day - 4 Inheritance of Semantic network Concept of inheritance to improvise knowledge representation Day - 5 KR using Frames Importance of frames Day - 6 Module Assignment - 4 Undergone through a online assessment
- 11. WEEK - 5 OBJECTIVES OF ACTIVITIES DONE : BRIEF DESCRIPTION OF SEMANTIC NETWORK FOR KR ,EXPERT SYSTEM 4/25/2024 Second Review - Batch 1 11 Day & Date Brief description of the daily activity Learning Outcome Day - 1 Extended semantic network for KR New Methods in Semantic Day - 2 Introduction to Expert System Role of expert system Day - 3 Characteristics of Expert System Learned about its salient features Day - 4 Advantages and Disadvantages of Expert System Aspects to be improved to make effective Use of expert system Day - 5 Expert System vs Traditional System Difference between Expert and traditional system Day - 6 Module Assignment - 05 Undergone through a online assessment
- 12. WEEK - 6 12 OBJECTIVES OF ACTIVITIES DONE : BRIEF DESCRIPTION OF EXPERT SYSTEMS, ARCHITECTURE, MYCIN EXPERT SYSTEM • Day & Date • Brief description of the daily activity • Learning Outcome • Day & Date • Brief description of the daily activity • Learning Outcome Day & Date Brief description of the daily activity Learning Outcome Day - 1 Applications Of Expert System How and where Expert system are used Day - 2 Phases in Building Expert system Software and its procedure to build Expert System Day - 3 Architecture Of Expert System Internal structure is known Day - 4 Architecture Of Expert System Internal structure is known Day - 5 MYCIN Expert System Learned about MYCIN Expert System Day - 6 Module Assignment -06 Undergone through a online assessment
- 13. WEEK - 7 13 OBJECTIVES OF ACTIVITIES DONE : BRIEF DESCRIPTION OF BLACK BOARD, TRUTH MAINTENANCE SYSTEMS AND LIST OF SHELLS AND TOOLS. Day & Date Brief description of the daily activity Learning Outcome Day - 1 Black Board Systems Introduction and architecture of Black Board Day - 2 Truth Maintenance System Introduction to Truth Maintenance System Day - 3 Truth Maintenance System Different proposition symbols of Truth Maintenance System Day - 4 List Of Shells and tools Learned basic Shells and tools Day - 5 Learned basic Shells and tools Control Shell Day - 6 Module Assignment - 07 Undergone through a online assessment
- 14. 14 WEEK - 8 OBJECTIVES OF ACTIVITIES DONE : BRIEF DESCRIPTION OF MACHINE LEARNING • Day & Date • Brief description of the daily activity • Learning Outcome Day & Date Brief description of the daily activity Learning Outcome Day - 1 Concept of machine learning Machine learning importance and its key role Day - 2 Types Of Learning Various learning enrolled with AI Day - 3 Feature extraction and Model training Machine learning features and sample model visualization Day - 4 Concept of Generalization Generalization of some real time problems Day - 5 Applications Tools and Framework Some tools used in machine learning concept Day - 6 Module Assignment - 08 Undergone through a online assessment
- 15. 15 OUTCOMES • I learned how to identify which expert system are suitable for problem solving and for the knowledge representation. This practical knowledge bridged the gap between theory and application. • A major accomplishment of the internship was gaining proficiency in using popular AI tools and platforms. I was able to put this proficiency to use various algorithm processes. • The internship was a collaborative learning experience. I had the privilege of working with experienced professionals and fellow interns. • The internship wasn't just about technical skills; it also emphasized the development of soft skills essential for any professional. • I honed my time management skills, adapting to changing circumstances efficiently. These soft skills significantly improved my project execution and overall effectiveness. • I developed the ability to make informed decisions about which processes to automate for maximum benefit. • One of the most important skills I acquired was strategic thinking. I learned to identify processes that would benefit the most from automation
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- 18. 18 CONCLUSION • Artificial Intelligence and Machine Learning in India have positively impacted the development of tools, applications, and various other aspects of the IT industry. Let’s check out some of the future scopes of Artificial Intelligence and machine learning: • Chatbots • Education • Healthcare • Transport • Manufacturing industry • Cybersecurity
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