AI Infusion – AI, Gen AI, ML, Deep Learning, Python

AI Infusion: AI , Gen AI, ML, Deep Learning, Python offers an online dynamic course spanning six weeks. It aims to help participants grasp the concepts of artificial intelligence (AI), Generative AI, machine learning (ML), deep learning, and Python programming in a simplified manner.This course builds strong foundation of AI for the learners. At end of this course, the learners will understand how to apply AI and ML concepts in their use cases. The course structure ensures participants gain a comprehensive understanding of the AI landscape, covering the latest trends and technologies in the field.  The course will include quizzes and assignments at end of each week that the student must complete.

Who Should Enroll:

This course is ideal for

• Working professionals interested in enhancing their career with knowledge of AI.
• Beginners in the AI and ML domain eager to establish a strong foundation.
• Academics and students interested in exploring AI and ML advancements.
• Entrepreneurs and business leaders looking to leverage AI for strategic advantage.

Prerequisites:

• Participants should have a basic understanding of programming concepts.
• Beginners can access the course without needing any prior experience in AI or ML.

AI Infusion Program Objectives:

• Grasp the fundamental concepts of AI, Generative AI, Machine Learning and Deep learning.
• Learn about Python programming skills  and its libraries for AI and ML applications.
• Understand the underlying mechanisms of developing and training machine learning models
• Explore the Gen Ai tools and how they can improve productivity
• Understand the ethical implications and best practices in AI development.

AI Infusion Key Modules:

• Introduction to Python:

  • Python Basics
  • Function and Packages
  • Working with Data Structures, Arrays, Vectors and Data Frames
  • Jupyter Notebook – Installations and Uses
  • Numpy, Pandas, Matplotlib and Seaborn

• Exploratory Data Analysis and Processing:

  • Data Types, Skewness, Dispersion and Kurtosis
  • Univariate, Bivariate and Multivariate Analysis
  • Data Imputation
  • Data Encoding, Scaling, and Feature Engineering
  • Correlation Analysis
  • Identifying and Normalizing Outliers

• Machine Learning Fundamentals:

  • Machine Learning Model
  • Performance Metrics
  • Regression
  • Supervised ML
  • Unsupervised ML
  • Reinforcement ML

• Deep Learning In Action:

  • Why Deep Learning?
  • Basics of Neural Networks
  • Activation Functions
  • Perceptron – Single and Multilayer
  • Artificial Neural Networks (ANN)
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN)

• Generative AI:

  • Introduction to GenAI
  • Journey from AI to GenAI
  • Introduction to Generative AI Models
    • GANs
    • Transformers
    • VAEs
    • LLMs etc.
  • ChatGPT 3.5 Vs GPT-4
  • Prompt Engineering
  • ChatGPT Plugins
  • Custom GPTs

• Advancement in Gen AI and tools:

  • Google Bard
  • Microsoft Bing
  • Midjourney
  • DALL-E 3
  • Zapier
  • Notion AI
  • Adobe Firefly and
  • Photoshop AI

• Ethical AI and Future Trends:

  • Ethical considerations in AI and exploring the future prospects and advancements in the field.

AI Infusion Certification:

Upon successful completion of the course, participants will be awarded a Certificate of Completion, signifying their attainment of proficiency in AI Infusion Course. This certification serves as evidence of their dedication and accomplishment throughout the program. Moreover, it provides validation of their newly acquired skills and knowledge, establishing their credibility in the field of Artificial Intelligence. Additionally, the certificate opens doors to various opportunities, enabling participants to showcase their expertise to potential employers or academic institutions. Furthermore, it serves as a stepping stone for participants to further advance their careers or pursue higher education in Artificial Intelligence-related disciplines.

Instructor:

Our esteemed technical trainers, spanning over 10 years of invaluable experience in the era of AI across diverse educational institutions, will be facilitating this course. Drawing from their rich expertise, they will guide participants through every facet of the curriculum. Moreover, their extensive experience in mentoring students through project work serves as a testament to their skill imparting practical knowledge.

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