The document outlines an 8-week internship program focusing on artificial intelligence (AI) and machine learning (ML), supported by Amazon Web Services. It includes a company profile of AWS, describes the program's objectives, activities conducted each week, and the outcomes for participants, emphasizing both technical and soft skills development. Overall, the program aims to equip graduates with the skills necessary to contribute to technological advancements in the field of AI and ML.

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
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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.
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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
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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
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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.
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6. OBJECTIVES
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• 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
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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
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 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

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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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17. 17
INTERNSHIP CERTIFICATE

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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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