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Artificial Intelligence Fundamentals (IBM) - P4

Introduction to Artificial Intelligence

Natural Language Processing and Computer Vision

Machine Learning and Deep Learning

10h
98
8

Introduction to Generative AI - P4

Explain how generative artificial intelligence (gen-AI) works

Define what foundation models are and their role in machine learning

Understand how transformer models are used to solve various language-related tasks

1h 30m
114
6

Machine Learning Crash Course (Intro) - P4

Linear & Logistic Regression

Classification & Metrics

Data Handling & Overfitting

4h
85
6

Agentic AI - P4

4 (4)
>>>Please read the instrcution carefully<<<All course materials have been replicated in the BJIT LMS as a backup. Because the external platform requires a paid account to access the quiz, we have also provided the quiz…
6h
96
46

Artificial Intelligence Fundamentals (IBM) - P3

Introduction to Artificial Intelligence

Natural Language Processing and Computer Vision

Machine Learning and Deep Learning

10h
3
8

Introduction to Generative AI - P3

Explain how generative artificial intelligence (gen-AI) works

Define what foundation models are and their role in machine learning

Understand how transformer models are used to solve various language-related tasks

1h 30m
3
6

Machine Learning Crash Course (Intro) - P3

Linear & Logistic Regression

Classification & Metrics

Data Handling & Overfitting

4h
1
6

Agentic AI - P3

4.8 (5)
>>>Please read the instrcution carefully<<<All course materials have been replicated in the BJIT LMS as a backup. Because the external platform requires a paid account to access the quiz, we have also provided the quiz…
6h
3
46

Machine Learning Crash Course (Intro) - P2

4 (1)

Linear & Logistic Regression

Classification & Metrics

Data Handling & Overfitting

4h
66
6

Introduction to Generative AI - P2

5 (2)

Explain how generative artificial intelligence (gen-AI) works

Define what foundation models are and their role in machine learning

Understand how transformer models are used to solve various language-related tasks

1h 30m
68
6

Artificial Intelligence Fundamentals (IBM) - P2

Introduction to Artificial Intelligence

Natural Language Processing and Computer Vision

Machine Learning and Deep Learning

10h
68
8

Mastering Jira for Project Management

5 (1)
Overview of Project Management Key Methodologies Scrum Practices in JIRA Key Scrum Artifacts Introduction to JIRA (Key Features & Benefits ) Overview of JIRA Versions (Cloud vs Server) Introduction to Confluence Using Confluence for Documentation…
3h
46
45

Agentic AI - P1

4.8 (6)

Introduction to Agentic AI

Reflection Design Pattern

Tool Use Design Pattern

6h
75
7

Machine Learning Crash Course (Intro) - P1

5 (3)

Linear & Logistic Regression

Classification & Metrics

Data Handling & Overfitting

4h
77
6
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