Artificial Inteligence (AI) Implementation Boot Camp (AIIBC) Course

Artificial Inteligence Implementation Boot Camp

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AIIBC, Artificial Intelligence (AI) Implementation Boot Camp, is a 01-day expert-led course. It is an AI course that prepares you to contribute to the adoption of machine learning and AI features an

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Artificial Inteligence (AI) Implementation Boot Camp (AIIBC) Course

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Overview Learning Objectives Who Should Attend Outline

Artificial Intelligence (AI) Implementation Boot Camp (AIIBC)

The course entails an intensive literacy in AI for you with a diverse set of management tools. It lets you seamlessly integrate machine intelligence into the business strategy. AIIBC is a hands-on experience and expert-led course that unveils the tangible technology underpinning machine learning and other machine intelligence services. While management analysts are working in collaboration with AI and machine learning, they all agree about its limitations to practical applications. However, the landscape of data science and application engineering skills is changing with tools like Googles open-source TensorFlow and others.

In this course, you will learn about machine learning terrain that enables you to construct practical use cases for some unique scenarios. Learners and professionals will learn about the necessary teams, roles, and platforms required for a pragmatic adoption strategy. The Vinsys-led course consists of group exercises, mock tests, and instructor doubt-clearing sessions, letting you exchange ideas and collaborate on creating innovative examples. It is a well-versed course that covers the current state of AI and machine learning to help you gain confidence and become ready to face the future of your own teams. Upon course completion, you will be able to understand different types of machine learning, aspects of AI and ML, implementing machine learning pillars, methods, and algorithms, understand automation vs. job displacement vs. job creation, and more. Youll be able to spot new business opportunities where AI could be useful.

Objectives

Throughout this hands-on learning experience facilitated by our experts, you will achieve the following course objectives:

Develop the ability to discern between accurate information and misconceptions in AI and ML discussions
Develop expertise in designing or overseeing projects and programs incorporating aspects of AI and ML
Able to translate technical constraints and business concerns
Understand the priorities of other parties
Foster literacy and understanding of the scientific and mathematical components of AI and ML
Develop capabilities to articulate technical constraints
Address business concerns with ease among diverse stakeholders
Prioritize specific strengths and limitations of AI and ML applications
Facilitate effective communication with engineering team members regarding requirements and talent
Learn about the limitations of AI and ML applications
Explore real-world applications facilitating effective communication regarding AI development
Prepare and build lead teams that can amalgamate the necessary skill sets required for the effective implementation of AI and ML

Audience

This introductory-level course is suitable for learners and professionals in the world of business and intelligence. It is targeted to anyone who is contributing strategically to the adoption of AI and ML into their projects and applications.

Course Outline

Module : Introduction

Working definitions: AI, Machine Learning, Deep Learning, Data Science & Big Data
State of AI: summarizing major analysts' statistics & predictions
Summarizing AI misinformation
Effects on the job market
Today's AI use cases
What do high-profile uses have in common?
Addressing legitimate concerns & risks

Module : The Big Data Prerequisite

Evaluating your big data practice
State of tools – understanding intelligent big data stacks
Strategically restructuring enterprise data architecture for AI
Unifying data engineering practices
Datasets as learning data
Defeating Bias in your Datasets
Optimizing Information Analysis
Utilizing the IoT to amass a large amount of data

Module : Implementing Machine Learning

Examine pillars of a practicing AI team
Bettering Machine Learning Model Management
State of tools – understanding intelligent machine learning stacks
Machine Learning Methods and Algorithms
Developing Validation Sets
Developing Training Sets
Accelerating Training
Encoding Domain Expertise in Machine Learning
Automating Data Science
Deep Learning

Module : Creating Concrete Value

Opportunities for automation
Understanding automation vs. job displacement vs. job creation
Finding hidden opportunities through improved forecasting
Production and operations
Adding AI to the Supply Chain
Marketing and Sales Applications
Enhancing UX and UI
Next-Generation Workforce Management
Explaining Results
Quantity of data
Quality of data
ML techniques

Module : Machine intelligence as part of the customer experience

IoT and the role of machine learning
Projects based on customer & user needs
Handling customer inquiries with AI
Creating empathy-driven customer-facing actions
Narrowing down intent
AI as part of your channel strategy

Module : Machine Intelligence & Cybersecurity

How can ML help with security?
How are attackers leveraging ML and AI?
Building up trust toward automated security decisions and actions
Automated application monitoring as a security layer
Identifying Vulnerabilities
Automating Red Team/Blue Team Testing Scenarios
Modeling AI after previous security breaches
Automating and streamlining Incident Responses
How to use deep learning AI to detect and prevent malware and APTs
Fraud detection
Reducing compliance testing & cost

Module : Filling the Internal Capability Gap

Assessing your technological and business processes
Building your AI and machine learning toolchain
Hiring the right talent
Developing talent
How to make AI more accessible to people who are not data scientists
Launching pilot projects

Module : Conclusion and Charting Your Course

Review
Charting Your Course
Open Discussion

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FAQ’s

What is the course duration?

AIIBC, Artificial Intelligence (AI) Implementation Boot Camp is a 01-day expert-led course by Vinsys focusing on an in-depth understanding of AI and ML fundamentals and their diverse applications across various business aspects.

What is the course code to access the learning material?

The course code through which it can be accessed is AIIBC.

Why should I enroll in this course by Vinsys?

Enrolling in this course by Vinsys will offer a comprehensive and industry-relevant curriculum in the statistical programming world. The course is designed to provide learners with hands-on experience and insights into the latest advancements in the field. On top of that, you will get 24*7 support for pre-and post-course completion from Vinsys after you enroll in it.

Can a beginner enroll in this course?

Yes, a beginner can enroll in this course. It is an introductory level course that is suitable for those seeking to deepen their understanding of AI and ML knowledge and caters to a wide range of skill levels, from foundational concepts. This includes those working majorly in the field of business and looking forward to deepening their understanding of AI tools and features.

How will the course help me in my professional development?

Designed with experts, the course can unlock the potential of hands-on skills in artificial intelligence and machine learning, enabling you to design, create, and deploy AI-based skills. The course directly applies to enhancing professional expertise in making informed decisions at the organization tailored for industry insights provided with capabilities. It covers future trends in the field to make you more valuable in the evolving landscape of AI and improve business operations.

How is the course program carried out at Vinsys?

Our courses are delivered through instructor-led training (ILT), private group training, and virtual instructor-led training (vLIT). We boost your odds of success by helping you prepare for required exams and earn the certification. Effective course material accessed throughout the program makes learning about concepts beyond the class easier. You can choose your learning path to upskill with Vinsys' subject matter experts upon customizing training needs to ensure 100% results.

How will this course help the learners?

The course will help learners understand AI and ML and learn to identify various types of business strategies. The knowledge equips them to navigate the complex landscape of AI in an evolving environment.

Can learners interact with the instructors?

Yes, learners will have an opportunity to interact with the instructors until their confusion and queries are resolved. You can enjoy 24*7 support from Vinsys even after the course completion.

What are the job opportunities after AIIBC?

Upon completing this course, various job opportunities in the growing field of AI and ML will open up for you to explore skills in roles such as business management to contribute to decision-making in an AI environment. The professionals working in the IT field can explore opportunities in AI-driven center solutions, thus offering diverse and rewarding career paths.