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

Name: Prompt Engineering Bootcamp (Working With LLMs): Zero to Mastery
Price: 9 USD
Availability: InStock

25h 8m 45s

English

Paid

March 12, 2025

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.

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#	Title	Duration
1	Learn To Work With LLMs with Scott Kerr	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	What Are Open Source LLMs and Why Are They Important?	06:51
103	Chatbot Arena Leaderboard	07:53
104	Battle of the Intelligence Tests	14:39
105	Exercise: Create Your Own Test Prompt (Totem)	01:36
106	Introduction to LMStudio	02:38
107	Setting Up Your Own Model - Part 1	02:52
108	Setting Up Your Own Model - Part 2	09:39
109	Introduction	01:07
110	Auto-Priming	10:51
111	Chain of Density Prompting	18:17
112	Prompt Variables	07:14
113	Prompt Chaining	08:39
114	Prompt Chaining - Programmatic Visualization	17:41
115	Exercise: Prompt Chaining - Customer Support	22:34
116	Thinking Like LLMs - Dark Magic	09:58
117	XML Tags - There's More Than Meets The Eye!	09:18
118	Emotional Stimuli - Part 1	18:37
119	Emotional Stimuli - Part 2	04:43
120	Emotional Stimuli - Part 3 (But Why?)	07:18
121	Self-Consistency	13:45
122	ReAct Prompting	21:35
123	ReAct + CoT-SC	16:48
124	Applied Prompt Engineering with CRISPR - Part 1	13:41
125	Applied Prompt Engineering with CRISPR - Part 2	14:53
126	Tree of Thoughts - Part 1	14:57
127	Tree of Thoughts - Part 2	04:57
128	Tree of Thoughts - Part 3 (ToT via Code)	11:34
129	Tree of Thoughts - Part 4 (ToT via Chaining)	22:12
130	Tree of Thoughts - Part 5 ("Zero Shot" ToT)	12:27
131	Introduction to Prompt Testing	08:33
132	The Importance of Prompt Testing	04:33
133	Thinking Like LLMs - Schrodinger's Prompt	19:18
134	Building a Prompt Test	16:50
135	The Golden Answer	07:01
136	Model Benchmarks	11:29
137	Deep Dive: MMLU Benchmark	14:20
138	Prompt Tests vs. Model Benchmarks?	04:32
139	The Latest: MMLU Pro	18:11
140	Evaluating Results - Human Judge	07:04
141	Evaluating Results - Code Judge	11:24
142	Evaluating Results - AI Judge	22:07
143	Deep Dive: LLMs as a Judge - Biases	22:12
144	Deep Dive: LLMs as a Judge - Prompts	13:02
145	Thinking Like LLMs - Ex Post Facto Reasoning	11:47
146	Here. We. Go!	06:02
147	Introduction to PromptFoo	06:11
148	Our Prompt Testing Framework	04:46
149	Our 1st Prompt Test (Adding Prompts, Metrics + Human Judge) - The Setup	23:10
150	Our 1st Prompt Test (Adding Prompts, Metrics + Human Judge) - The Results	10:21
151	Our 2nd Prompt Test (Adding New Prompts + Code Judge) - The Setup	11:41
152	Our 2nd Prompt Test (Adding New Prompts + Code Judge) - The Results	07:39
153	Our 3rd Prompt Test (Adding 152 Test Cases + AI Judge) - The Setup	25:37
154	Our 3rd Prompt Test (Adding 152 Test Cases + AI Judge) - The Results	08:22
155	Our 4th Prompt Test (Adding Multiple Models) - The Setup	25:59
156	Our 4th Prompt Test (Adding Multiple Models) - The Results	13:12
157	Our 5th Prompt Test (Adding System Messages) - The Setup	24:32
158	Our 5th Prompt Test (Adding System Messages) - The Results	12:23
159	Do You Realize What Just Happened?	04:26
160	Introduction - Through The Looking Glass...	08:41
161	Applied Prompt Engineering with The Turing Test	07:34
162	Mechanistic Interpretability - Part 1	13:25
163	Mechanistic Interpretability - Part 2	21:00
164	Scaling Laws - Model Size	12:56
165	Scaling Laws - Dataset Size	08:05
166	Scaling Laws - Training Compute	11:50
167	Thank You!	01:18
168	Setup Demo: Getting Your API Key	02:24
169	Setup Demo: Downloading AutoGPT	01:04
170	Setup Demo: Installing Docker	03:27
171	Launching Your Autonomous Agent - Part 1	03:26
172	Launching Your Autonomous Agent - Part 2	01:22
173	It's Aliiiiiive! Running Your Autonomous Agent	04:52
174	Task 1: Hello World - Your First Website	16:18
175	Task 2: Python Program - Palindrome Checker	08:41