Prompt Engineering Bootcamp (Working With LLMs): Zero to Mastery

27h 8m 45s
English
Paid

Course description

Stop memorizing random prompts. Instead, learn how Large Language Models (LLMs) actually work and how to use them effectively. This course will take you from beginner to mastering LLMs by teaching you how to create your own AI tools that will take your career to the next level.

Read more about the course

Learn how to work with LLMs and AI. We guarantee you that this is the most comprehensive and up-to-date prompt engineering bootcamp course. You're going to learn the skills needed to be in the top 10% of using AI in the real world.

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#1: Learn To Work With LLMs with Scott Kerr

All Course Lessons (188)

#Lesson TitleDurationAccess
1
Learn To Work With LLMs with Scott Kerr Demo
01:01
2
Course Introduction
06:20
3
What is Prompt Engineering?
06:25
4
Why is Prompt Engineering Even a Thing?
08:32
5
Breaking GPT
04:03
6
Applied Prompt Engineering
04:25
7
Applied Prompt Engineering with NASA
09:30
8
Why is Prompt Engineering Important to You?
04:07
9
What I'm Using - Part 1
01:22
10
What I'm Using - Part 2 (OpenAI Playground)
04:03
11
Multi-Modality and Tools in LLMs
11:42
12
Getting Started with ChatGPT
01:40
13
The Basics of ChatGPT
04:09
14
ChatGPT App
01:12
15
Optional: ChatGPT Plus
01:56
16
Getting Started with Claude
04:28
17
Project Introduction
02:14
18
Setting Up Your Replit Account
04:45
19
Important Point #1 - Fundamental Truths About LLMs
02:59
20
Important Point #2 - Models are Non-Deterministic
04:04
21
The First Try
04:42
22
Building Our Snake Game - Part 1
06:13
23
Building Our Snake Game - Part 2
05:50
24
Introduction to LLMs
05:45
25
Tokens
05:18
26
Word Guessing Machines?
05:51
27
Thinking Like LLMs - Roll a Dice
06:57
28
Inside LLMs
22:14
29
The Transformer Model
07:39
30
Exercise: Visualize the LLM Architecture
03:57
31
The Training Process
09:58
32
Base Model vs. Assistant Model
07:07
33
Thinking Like LLMs - The Reversal Curse
05:15
34
Artificial General Intelligence (AGI)
05:29
35
Exercise: Use ChatGPT to Read the Research
04:48
36
The World of LLMs
06:06
37
Overview of Our Prompting Framework
03:31
38
The Standard Prompt
04:34
39
Exercise: Get Hyped to Learn!
04:05
40
The Setup
01:02
41
The System Message - Part 1
06:08
42
The System Message - Part 2
05:44
43
Exercise: Strengthen Your System Message
06:43
44
Context - What it Is
05:18
45
Context - The Context Window
09:22
46
Context - Lost in the Middle
11:27
47
Personas and Roles
08:43
48
Personas - Tone, Style and Voice
11:50
49
Custom Instructions
11:15
50
Thinking Like LLMs - Can GPT Keep a Secret?
04:46
51
Exercise: Get ChatGPT to Spill the Tea - Part 1
01:45
52
Exercise: Get ChatGPT to Spill the Tea - Part 2
01:43
53
Exercise: Get ChatGPT to Spill the Tea - Part 3
04:25
54
The User Message
02:10
55
Be Clear and Specific
03:53
56
Delimiters
05:16
57
Exercise: Identify Delimiters
03:26
58
X-Y Problem
06:11
59
In-Context Training
01:02
60
Zero Shot Prompting
01:48
61
One Shot and Few Shot Prompting
09:49
62
Language Models Are Few-Shot Learners
03:49
63
How Many Examples?
02:24
64
Thinking Like LLMs - But Wait...
05:37
65
Chain-of-Thought Prompting - Part 1
05:25
66
Chain-of-Thought Prompting - Part 2
05:46
67
Zero Shot CoT
09:30
68
Exercise: Imposter Syndrome
02:57
69
Career Coach Ideation
07:33
70
The Setup - Persona
06:03
71
The Setup - Context and Commands
05:43
72
The Instructions - Modes
12:21
73
The Instructions - Chain of Thought
03:52
74
The Instructions - Gamify
09:02
75
Meet Your Career Coach
19:54
76
The Output
01:36
77
Length
12:34
78
Formats
07:43
79
Exercise: Output an Excel File
02:31
80
Exercise: Make a Flowchart
04:02
81
Introduction to Guardrails and Jailbreaking
16:33
82
Jailbreak! (The DAN Prompt)
07:26
83
Many Shot Jailbreaking
18:10
84
Prompt Injections - Part 1
09:37
85
Prompt Injections - Part 2
17:43
86
Thinking Like LLMs - Multi-Modal Injection
09:18
87
Leaking - Part 1 (Prompt Leaking)
08:36
88
Leaking - Part 2 (Data Leaking)
18:08
89
Exposure
05:41
90
Poisoning
03:19
91
Toxicity
04:40
92
Hallucinations
13:32
93
Thinking Like LLMs - Big vs Small
18:59
94
Challenge: Conduct Your Own Mechanistic Interpretability Research on Hallucinations
04:35
95
The Model Card
11:06
96
Model Cards Deep Dive
14:44
97
Introduction to Hyperparameters and the OpenAI Playground
03:16
98
Temperature
10:26
99
Top P
04:09
100
Frequency and Presence Penalties
04:39
101
Stop Sequences
05:23
102
Introduction
08:43
103
Custom Instructions
03:14
104
Memory
10:39
105
The Instruction Hierarchy
09:07
106
The Latest: Reasoning Models - Use of Developer Message
11:42
107
The Latest: Research To Prevent ChatGPT from Spilling the Tea
09:28
108
Replay: Multi-Modality and Tools in LLMs
16:47
109
Multi-Modality Deep Dive
01:54
110
Thinking Like LLMs - Attack of the (Voice) Clones
02:42
111
The Bigger Picture
18:23
112
Tools & Function Calling - Part 1
10:30
113
Tools & Function Calling - Part 2
13:43
114
Wrap Up
03:08
115
What Are Open Source LLMs and Why Are They Important?
06:51
116
Chatbot Arena Leaderboard
07:53
117
Battle of the Intelligence Tests
14:39
118
Exercise: Create Your Own Test Prompt (Totem)
01:36
119
Introduction to LMStudio
02:38
120
Setting Up Your Own Model - Part 1
02:52
121
Setting Up Your Own Model - Part 2
09:39
122
Introduction
01:07
123
Auto-Priming
10:51
124
Chain of Density Prompting
18:17
125
Prompt Variables
07:14
126
Prompt Chaining
08:39
127
Prompt Chaining - Programmatic Visualization
17:41
128
Exercise: Prompt Chaining - Customer Support
22:34
129
Thinking Like LLMs - Dark Magic
09:58
130
XML Tags - There's More Than Meets The Eye!
09:18
131
Emotional Stimuli - Part 1
18:37
132
Emotional Stimuli - Part 2
04:43
133
Emotional Stimuli - Part 3 (But Why?)
07:18
134
Self-Consistency
13:45
135
ReAct Prompting
21:35
136
ReAct + CoT-SC
16:48
137
Applied Prompt Engineering with CRISPR - Part 1
13:41
138
Applied Prompt Engineering with CRISPR - Part 2
14:53
139
Tree of Thoughts - Part 1
14:57
140
Tree of Thoughts - Part 2
04:57
141
Tree of Thoughts - Part 3 (ToT via Code)
11:34
142
Tree of Thoughts - Part 4 (ToT via Chaining)
22:12
143
Tree of Thoughts - Part 5 ("Zero Shot" ToT)
12:27
144
Introduction to Prompt Testing
08:33
145
The Importance of Prompt Testing
04:33
146
Thinking Like LLMs - Schrodinger's Prompt
19:18
147
Building a Prompt Test
16:50
148
The Golden Answer
07:01
149
Model Benchmarks
11:29
150
Deep Dive: MMLU Benchmark
14:20
151
Prompt Tests vs. Model Benchmarks?
04:32
152
The Latest: MMLU Pro
18:11
153
Evaluating Results - Human Judge
07:04
154
Evaluating Results - Code Judge
11:24
155
Evaluating Results - AI Judge
22:07
156
Deep Dive: LLMs as a Judge - Biases
22:12
157
Deep Dive: LLMs as a Judge - Prompts
13:02
158
Thinking Like LLMs - Ex Post Facto Reasoning
11:47
159
Here. We. Go!
06:02
160
Introduction to PromptFoo
06:11
161
Our Prompt Testing Framework
04:46
162
Our 1st Prompt Test (Adding Prompts, Metrics + Human Judge) - The Setup
23:10
163
Our 1st Prompt Test (Adding Prompts, Metrics + Human Judge) - The Results
10:21
164
Our 2nd Prompt Test (Adding New Prompts + Code Judge) - The Setup
11:41
165
Our 2nd Prompt Test (Adding New Prompts + Code Judge) - The Results
07:39
166
Our 3rd Prompt Test (Adding 152 Test Cases + AI Judge) - The Setup
25:37
167
Our 3rd Prompt Test (Adding 152 Test Cases + AI Judge) - The Results
08:22
168
Our 4th Prompt Test (Adding Multiple Models) - The Setup
25:59
169
Our 4th Prompt Test (Adding Multiple Models) - The Results
13:12
170
Our 5th Prompt Test (Adding System Messages) - The Setup
24:32
171
Our 5th Prompt Test (Adding System Messages) - The Results
12:23
172
Do You Realize What Just Happened?
04:26
173
Introduction - Through The Looking Glass...
08:41
174
Applied Prompt Engineering with The Turing Test
07:34
175
Mechanistic Interpretability - Part 1
13:25
176
Mechanistic Interpretability - Part 2
21:00
177
Scaling Laws - Model Size
12:56
178
Scaling Laws - Dataset Size
08:05
179
Scaling Laws - Training Compute
11:50
180
Thank You!
01:18
181
Setup Demo: Getting Your API Key
02:24
182
Setup Demo: Downloading AutoGPT
01:04
183
Setup Demo: Installing Docker
03:27
184
Launching Your Autonomous Agent - Part 1
03:26
185
Launching Your Autonomous Agent - Part 2
01:22
186
It's Aliiiiiive! Running Your Autonomous Agent
04:52
187
Task 1: Hello World - Your First Website
16:18
188
Task 2: Python Program - Palindrome Checker
08:41

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