CF

The Complete AI Fast Track Bootcamp - 2024

10h 59m 1s
English
Paid

The Complete AI Fast Track Bootcamp - 2024 is a 114-lesson 10 hours 59 minutes self-paced course by Code4Startup. The Complete AI Fast Track Bootcamp - 2024 is an intensive online course designed for the rapid acquisition of key skills in the field of artificial intelligence.

Course facts

Lessons
114
Duration
10 hours 59 minutes
Level
All levels
Language
English
Updated
Instructor
Code4Startup
Price
Premium

The Complete AI Fast Track Bootcamp - 2024 is an intensive online course designed for the rapid acquisition of key skills in the field of artificial intelligence. It covers modern technologies, including large language models (LLM), generative AI, vector databases, LangChain, Hugging Face, Gemini Pro, and more.

Course Structure

Module 1: Large Language Models (LLMs)

Dive into the world of generative AI and next-generation language models to understand their impact and applications.

Module 2: Prompt Engineering

Acquire skills for creating effective prompts for models such as GPT-4 and Claude, empowering you to harness AI effectively.

Module 3: Ollama

Learn to work with open LLMs, customizing models to meet individual needs and enhance performance.

Module 4: Hugging Face

Explore the Hugging Face platform, which enables hosting and interacting with advanced NLP models.

Module 5: Vector Databases

Understand how text is represented as numerical vectors to optimize data storage and retrieval processes.

Module 6: Gemini Pro

Study the revolutionary Gemini technology and explore its applications in various AI projects.

Module 7: LangChain

Use the LangChain framework to enhance LLM capabilities by integrating external data sources and APIs.

Module 8: CrewAI

Organize interactions between AI agents to significantly boost productivity across tasks.

Module 9: Custom GPT Models

Gain an overview of the most interesting custom GPT models developed by pioneering developers and researchers.

Module 10: Function Calling and Assistants API

Learn the fundamentals of using the Function Calling and Assistants API from OpenAI to build responsive AI solutions.

Module 11: Speech and Vision

Apply AI to speech recognition and image processing tasks, enabling the creation of advanced applications and virtual assistants.

Who teaches The Complete AI Fast Track Bootcamp - 2024? Code4Startup

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Code4Startup (also known as CodeRealProjects) is a project-based teaching platform aimed at developers who want to learn the modern web stack by building real working applications — typically clones of well-known startup products (Airbnb, Twitter, Uber, Netflix) using the current full-stack JavaScript or PHP / Laravel toolchains.

The course catalog covers the modern full-stack stacks: React + Node.js, Vue + Laravel, Next.js + Supabase, the mobile side with React Native, plus the surrounding tooling for auth, billing, and deployment. Each course is structured around shipping a complete working clone of a recognisable product, which suits developers learning by reverse-engineering real applications rather than studying frameworks in isolation.

The CourseFlix listing under this source carries 8 Code4Startup courses spanning that range. Material is paid; courses are sold individually on the original platform.

What lessons are included in The Complete AI Fast Track Bootcamp - 2024?

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#1: 2.1 Indirect prompt injection
All Course Lessons (114)
#Lesson TitleDurationAccess
1
2.1 Indirect prompt injection Demo
01:31
2
3.1 Quick intro
06:39
3
3.2 About local LLM
07:25
4
3.3 Installation
05:39
5
3.4 Run Llava
05:58
6
3.5 APIs with Postman
10:27
7
3.6 With OpenAI
04:57
8
3.7 With Ollama
02:38
9
3.8 With Langchain
02:00
10
3.9 Run Ollama with Chat UI
12:11
11
3.10 Ollama with custom models
09:28
12
4.1. What is Hugging Face.
01:52
13
4.2. Hugging Face ecosystem
04:37
14
4.3. Working with Transformers libirary
10:04
15
4.4. Generate text
09:54
16
4.5. Transcribing audio
02:59
17
4.6. Obje detection
10:51
18
4.7. What is Spaces.
03:46
19
4.8. Creating Gradio app
05:09
20
4.9. Creating Spaces
09:58
21
5.1. What is Gemini.
01:59
22
5.2. Getting API Key
02:05
23
5.3. Initialize Python project
01:20
24
5.4. Generate text
03:17
25
5.5. Interact with image
06:40
26
5.6. Chatbot
04:31
27
5.7. Text chatbot
07:35
28
5.8. Photo chatbot
12:18
29
5.9. Audio chatbot
05:00
30
6.1. Embeddings
03:44
31
6.2. Vector database
04:15
32
6.3. Token limit problem
08:02
33
6.4. What is RAG.
03:26
34
6.5. Chroma
02:27
35
6.6. Chroma embeddings
05:29
36
6.7. OpenAI embeddings
04:46
37
6.8. Hugging Face embeddings
02:47
38
6.9. Updating data
02:20
39
6.10. Removing data
01:43
40
6.11. Collection management
03:41
41
6.12. Prepare resumes
03:37
42
6.13. Code
10:36
43
7.1. Age
05:53
44
7.2. Chains
03:30
45
7.3. Chat with RAG
06:52
46
7.4. Generation
02:57
47
7.5. Go with Hugging Face and Groq
11:01
48
7.6. Go with OpenAI
07:10
49
7.7. Intro
04:00
50
7.8. Memory
05:03
51
7.9. RAG with PDF
12:42
52
7.10. Retrieval Augmented
11:25
53
7.11. Simple ChatUI with Ollama
05:40
54
7.12. Upload PDF
09:12
55
8.1. Intro
03:10
56
8.2. Workflow
06:01
57
8.3. Age
03:36
58
8.4. Tasks
04:55
59
8.5. Tools
03:43
60
8.6. Processes
01:55
61
8.7. Installation
03:32
62
8.8. Run Age
04:54
63
8.9. Run Tasks
03:22
64
8.10. Run Crew
06:19
65
8.11. Installation libraries
04:20
66
8.12. Set up compone
05:21
67
8.13. Crew
07:40
68
9.1. Intro
04:03
69
9.2. Create GPT
07:17
70
9.3. Add knowledge base
04:27
71
9.4. Nutrition API
03:02
72
9.5. Create your actions
06:24
73
9.6. Hacking instruction prompt
04:16
74
9.7. Hacking uploaded files
05:31
75
9.8. Advanced hacking prompt
07:00
76
9.9. Layer of protection
05:55
77
10.1. Problem #1
02:17
78
10.2. Problem #2
05:23
79
10.3. Solution
06:32
80
10.4. Multiple custom functions
05:40
81
10.5. Applications of function calling
05:14
82
10.6. Back to the problem
01:18
83
10.7. Function calling use cases
07:55
84
10.8. Overview
04:11
85
10.9. Create assistant in playground
04:48
86
10.10. Add knowledge base
04:06
87
10.11. Code intergreter
04:10
88
10.12. Knowledge base
06:42
89
10.13. Function calling
07:20
90
10.14. Basic Streamlit
08:30
91
10.15. Send email with Resend
07:16
92
10.16. Update utils - create assistant
09:02
93
10.17. Update utils - functions for assistant
05:16
94
10.18. Add logic
13:37
95
11.1. Speech reg vs Voice reg
01:27
96
11.2. OpenAI Whisper
06:12
97
11.3. Local Whisper
07:54
98
11.4. Transcribe Youtube
03:58
99
11.5. Deepgram STT
06:39
100
11.6. SpeechRecognition - Google
09:54
101
11.7. SpeechRecognition - Whisper
09:42
102
11.8. OpenAI
10:53
103
11.9. Deepgram
06:40
104
11.10. Structure
01:15
105
11.11. Add Speech-to-Text
04:01
106
11.12. Add Text-to-Speech
08:22
107
11.13. Add Groq
06:54
108
11.14. Working together
05:55
109
11.15. Work with remote image
06:02
110
11.16. Work with local image
10:19
111
11.17. Step 1 - Camera input
03:03
112
11.18. Step 2 - Input form
03:33
113
11.19. Step 3 - AI image function
06:01
114
11.20. Step 4 - Test on monile
09:11
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16.3 Token limit problem PDF
27.12 Upload PDF PDF
39.3 Add knowledge base PDF
410.10 Add knowledge base PDF

What courses are similar to The Complete AI Fast Track Bootcamp - 2024?

Frequently asked questions

What prerequisites are needed for the course?
The course is designed for individuals with a basic understanding of programming and an interest in artificial intelligence. While prior experience with specific AI tools or platforms is not required, familiarity with Python will be beneficial, especially when working with libraries like Hugging Face and LangChain.
What projects will I work on during the course?
Throughout the course, you will engage in various projects that include creating Gradio apps using Hugging Face, developing chatbots with Gemini Pro, and managing vector databases. These hands-on projects are designed to give you practical experience with generative AI, LLMs, and the integration of external data.
Who is the target audience for this course?
This course is aimed at individuals who are keen to quickly acquire skills in modern AI technologies. It is suitable for software developers, data scientists, and tech enthusiasts looking to explore the capabilities of large language models, generative AI, and related tools.
How does the course depth compare to other AI courses?
The course offers a fast-paced learning experience with a focus on practical application of AI tools such as LangChain, Hugging Face, and Gemini Pro. Unlike more theoretical courses, this bootcamp emphasizes real-world use cases and hands-on projects to ensure you can effectively apply AI in various contexts.
What specific tools and platforms will I learn to use?
You will learn to use a variety of tools and platforms, including GPT-4 and Claude for prompt engineering, Hugging Face for working with NLP models, LangChain for enhancing LLM capabilities, and Ollama for customizing open LLMs. The course also covers vector databases for optimizing data storage.
What topics are not covered in the course?
The course does not cover topics related to AI ethics, detailed machine learning algorithms, or the creation and training of neural networks from scratch. It focuses instead on the application and integration of existing AI technologies and models.
How will this course benefit my career or future learning?
By completing the course, you will gain practical skills in some of the most advanced AI tools and frameworks available, such as Hugging Face and LangChain. These skills are highly applicable across various tech roles and can enhance your ability to participate in AI-driven projects, making you a valuable asset in any technology-focused career.