Master AI Fundamentals: Complete Beginner's Guide 2024
Focused View
2:27:16
1 - Intro-to-AI-Course-notes.pdf
1 - Natural vs Artificial Intelligence.mp4
02:07
2 - Brief history of AI.mp4
04:41
3 - Demystifying AI Data science Machine learning and Deep learning.mp4
02:27
4 - Weak vs Strong AI.mp4
02:43
5 - Structured vs unstructured data.mp4
01:47
6 - How we collect data.mp4
04:02
7 - Labelled and unlabelled data.mp4
02:06
8 - Metadata Data that describes data.mp4
01:42
9 - Machine learning.mp4
05:26
10 - Supervised Unsupervised and Reinforcement learning.mp4
05:35
11 - Deep learning.mp4
08:27
12 - Robotics.mp4
04:35
13 - Computer vision.mp4
04:34
14 - Traditional ML.mp4
01:19
15 - Generative AI.mp4
04:05
16 - The rise of Gen AI Introducing ChatGPT.mp4
02:09
17 - Early approaches to Natural Language Processing NLP.mp4
02:42
18 - Recent NLP advancements.mp4
03:01
19 - From Language Models to Large Language Models LLMs.mp4
06:11
20 - The efficiency of LLM training Supervised vs Semisupervised learning.mp4
03:35
21 - From NGrams to RNNs to Transformers The Evolution of NLP.mp4
05:22
22 - Phases in building LLMs.mp4
04:40
23 - Prompt engineering vs Finetuning vs RAG Techniques for AI optimization.mp4
04:24
24 - The importance of foundation models.mp4
02:50
25 - Buy vs Make foundation models vs private models.mp4
02:36
26 - Inconsistency and hallucination.mp4
02:43
27 - Budgeting and API costs.mp4
02:58
28 - Latency.mp4
01:26
29 - Running out of data.mp4
02:25
30 - Python programming.mp4
02:07
31 - Working with APIs.mp4
01:35
32 - Vector databases.mp4
03:11
33 - The importance of open source.mp4
06:11
34 - Hugging Face.mp4
01:47
35 - Hugging Face.mp4
02:54
36 - AI evaluation tools.mp4
03:07
37 - AI strategist.mp4
05:08
38 - AI developer.mp4
04:27
39 - AI engineer.mp4
03:53
40 - AI ethics.mp4
05:39
41 - Future of AI.mp4
04:39
More details
Course Overview
This comprehensive introduction to AI covers everything from basic concepts to generative AI applications, helping beginners understand and leverage this transformative technology.
What You'll Learn
- Core AI concepts including machine learning and deep learning
- How generative AI and large language models work
- Practical applications and career opportunities in AI
Who This Is For
- Complete beginners wanting to understand AI
- Professionals looking to leverage AI in their work
- Career changers exploring opportunities in AI
Key Benefits
- No prior experience required - starts from basics
- Covers both technical concepts and practical applications
- Includes emerging topics like prompt engineering and AI ethics
Curriculum Highlights
- AI fundamentals and history
- Generative AI and LLMs
- AI tech stack and career paths
Focused display
Category
- language english
- Training sessions 41
- duration 2:27:16
- Release Date 2025/04/26
