RAG System - eLearning Bundle CourseNew

Welcome to the RAG System - eLearning Bundle, your ultimate pathway to mastering Retrieval-Augmented Generation (RAG) and building cutting-edge Generative AI applications. This comprehensive bundle combines nine specialized courses, offering an unparalleled learning experience designed to transform aspiring AI practitioners and seasoned developers into experts in RAG system development and deployment.

In today's rapidly evolving AI landscape, the ability to build intelligent systems that can accurately retrieve information and generate contextually relevant responses is paramount. This bundle addresses that need directly, guiding you through the entire lifecycle of RAG system development, from foundational data preprocessing to advanced multimodal applications and scalable architectural designs.

What You Will Gain:

Deep Understanding of RAG: Grasp the core concepts and advanced techniques of Retrieval-Augmented Generation, including naive and advanced RAG implementations, query expansion, and re-ranking strategies.
Practical Application with Leading Frameworks: Get hands-on experience building RAG applications using industry-leading frameworks like LlamaIndex and LangChain.
Data Preparation Mastery: Learn to preprocess and optimize unstructured data for LLMs and RAG systems, including document extraction, cleaning, normalization, chunking, and metadata analysis.
Knowledge Graph Integration: Discover how to enhance AI capabilities by integrating knowledge graphs with RAG systems using tools like Neo4j, improving data retrieval and overall system performance.
Multimodal AI Development: Build intelligent search and recommendation systems that seamlessly integrate text, image, and other data types using GPT-4 and RAG frameworks.
Secure Local LLM Solutions: Develop private and secure Large Language Model solutions locally using Ollama, reducing reliance on cloud infrastructure.
Scalable AI Architecture: Design and implement robust, cloud-native Generative AI systems, focusing on scalability, security, cost optimization, and resilience.
Real-World Project Readiness: Equip yourself with the practical skills and confidence to tackle complex AI projects and contribute to the next generation of intelligent applications.

Why This Bundle?

This bundle is meticulously crafted for individuals who want to move beyond theoretical understanding and gain actionable skills in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), data preprocessing, knowledge graphs, multimodal AI, and scalable AI solutions. Whether you are a data scientist, machine learning engineer, AI developer, or a tech enthusiast looking to specialize in cutting-edge AI, this bundle provides the structured learning path you need.

Unlock Your Potential in Generative AI. Enroll in the RAG System - eLearning Bundle today and start building the future of intelligent systems!

Also Included - 4 Courses: An Essential Career Skills Pack with 4 courses in key areas for career management and growth, including Time Management, Digital Skills, Creativity and Soft Skills.

Course Notes

Important Course Information

This is a Lecture-Only eLearning Course. If you would like to practice any hands-on activities, you must use your own software.

Course Objectives:

Master Retrieval-Augmented Generation (RAG) System Development: Gain a comprehensive understanding of RAG principles and practical skills in implementing both naive and advanced RAG techniques for enhanced information retrieval and generation in AI applications.
Develop & Deploy RAG Applications with Leading Frameworks: Acquire hands-on proficiency in building robust RAG applications using industry-standard tools like LlamaIndex and LangChain.
Optimize Unstructured Data for LLMs and RAG: Learn to effectively preprocess, clean, normalize, and chunk diverse unstructured data types, preparing them for optimal performance within Large Language Models and RAG systems.
Integrate Knowledge Graphs for Enhanced AI: Understand and apply methods for building and integrating knowledge graphs (e.g., with Neo4j) to significantly improve the accuracy and contextuality of AI data retrieval and reasoning.
Architect Scalable and Secure Generative AI Solutions: Design, implement, and optimize resilient, cloud-native Generative AI systems, focusing on best practices for scalability, security, and cost efficiency.
Build Multimodal AI Systems for Advanced Search & Recommendations: Develop intelligent systems that seamlessly process and integrate various data modalities (text, image, etc.) using RAG frameworks for sophisticated search and recommendation functionalities.
Implement Secure Local LLM Solutions: Learn to leverage tools like Ollama to create and manage private, secure Large Language Model solutions, reducing reliance on external cloud services.

Target Audience

Data Scientists: Those looking to expand their expertise into Generative AI, RAG systems, and advanced data preprocessing techniques.
Machine Learning Engineers: Professionals aiming to build and deploy more accurate, context-aware, and scalable AI applications.
AI/ML Developers: Developers who want to specialize in building intelligent systems that can retrieve and generate information efficiently.
Software Engineers: Engineers interested in integrating cutting-edge AI capabilities into their applications and systems.
Researchers in AI/NLP: Academics and researchers seeking hands-on experience with practical implementations of RAG and related technologies.
Architects of AI Solutions: Individuals responsible for designing and implementing scalable and robust AI infrastructures.
Anyone with a foundational understanding of Python and AI/ML basics who wants to dive deep into the practical aspects of Retrieval-Augmented Generation and its ecosystem.
Tech Enthusiasts and Innovators: Individuals keen on staying at the forefront of AI advancements and building next-generation intelligent applications.

Key Features

Audio Narration
Video
Inline Activities

Exercises
Quizzes
Supplemental Resources

Languages

Audio/Video/Course Text: English.
Subtitles (Closed Caption): English.

Course Duration

RAG System: 30 hrs 58 min

Essential Career Skills Pack: 2 hrs 23 min

eLearning Training Delivery Method

Learn at Your Own Pace

This self-paced online course lets you learn independently at your own pace through Certstaffix Training's easy-to-use platform.

How It Works

A Learn at your own pace - Start and stop as it is convenient for you. Pick up where you left off.

Lecture utilizing video and recorded screenshots

6-month subscription length

Instant Access After Purchase

Have more than 10 students needing this course? Contact Us for bulk pricing.

Course Topics

Preprocessing Unstructured Data for LLMs and RAG Systems

Course Duration - 3 hrs 1 min

This course delves into the critical process of preparing unstructured data for advanced AI systems like LLMs and RAG systems. Learn to set up your development environment, handle diverse document types, and extract meaningful content. By the end, you'll be equipped to build and optimize your own data pipelines.

Course Objectives:

Configure a complete data preprocessing environment
Extract and clean data from various document types
Normalize and chunk data for efficient processing
Perform metadata extraction and semantic analysis
Develop a full Retrieval-Augmented Generation system
Interact with processed documents using advanced AI tools

AI Enhancement with Knowledge Graphs: Mastering RAG Systems

Course Duration - 2 hrs 36 min

This course covers everything you need to know about integrating knowledge graphs with RAG systems. From setting up a development environment to using Neo4j and querying data, you'll gain hands-on experience and deep insights into how knowledge graphs enhance AI capabilities. Perfect for professionals looking to elevate their data science skills.

Course Objectives:

Build and manage comprehensive knowledge graphs using Neo4j
Configure development environments and integrate AI tools effectively
Query and analyze complex data sets with graph databases
Implement RAG systems to improve AI data retrieval and performance
Develop advanced vector indexing and embedding techniques
Apply knowledge graph skills to real-world AI applications and projects

Building Smarter Systems: Multimodal RAG with GPT-4 for Search & Recommendations

Course Duration - 1 hrs 35 min

Explore how to build advanced multimodal systems using GPT-4 and RAG frameworks to power intelligent search and recommendation solutions. Through guided hands-on exercises, you'll learn to integrate text, image, and data workflows for high-performance AI applications. Gain the skills to architect smarter, scalable systems for real-world use cases.

Course Objectives:

Build multimodal search and recommendation systems using RAG frameworks
Integrate text and image embeddings into a unified AI system
Set up and manage vector databases for efficient search and retrieval
Implement workflows for multimodal RAG, enhancing system performance
Create user-friendly UIs for testing and deploying intelligent solutions
Optimize multimodal systems for accuracy and real-world scalability

Gen AI - RAG Application Development using LlamaIndex

Course Duration - 7 hrs 38 min

Dive into the world of Large Language Models (LLMs) with our in-depth course on LlamaIndex. Learn to create powerful RAG applications, explore advanced prompt engineering, and develop seamless query pipelines. Elevate your AI proficiency and build sophisticated tools and agents.

Course Objectives:

Develop and implement LlamaIndex programs
Design and utilize advanced prompt templates
Evaluate semantic similarities effectively
Integrate LlamaIndex with various databases
Set up and optimize different query pipelines
Create dynamic agents and tools for AI applications

Gen AI - RAG Application Development using LangChain

Course Duration - 8 hrs 36 min

Dive into the world of LangChain and Large Language Models. This course offers an in-depth exploration of prompts, agents, and vector databases. By the end, you'll have the skills to build sophisticated AI applications and projects.

Course Objectives:

Formulate and implement prompts for language models
Develop and utilize agents and tools within the LangChain framework
Integrate and manage document loaders and output parsers
Create and utilize language embeddings and vector databases
Build and deploy Retrieval-Augmented Generation (RAG) applications
Analyze structured data using natural language processing techniques

Master Retrieval-Augmented Generation (RAG) Systems

Course Duration - 1 hr 39 min

This course offers an in-depth exploration of Retrieval-Augmented Generation (RAG) systems. You'll start with the basics, progress through advanced techniques, and engage in hands-on sessions to reinforce learning. By the end, you'll have a solid grasp of how to implement and optimize RAG systems.

Course Objectives:

Implement naive and advanced RAG techniques
Optimize document retrieval and answer generation
Apply query expansion with multiple queries
Utilize cross-encoder and bi-encoder re-ranking
Perform dense passage retrieval effectively
Integrate advanced RAG techniques into AI applications

Harnessing Ollama: Create Secure Local LLM Solutions with Python

Course Duration - 3 hrs 14 min

Learn to leverage Ollama for private, secure LLM solutions. This course guides you through installation, customization, and interaction with models using Python. Build real-world applications, from chat interfaces to RAG systems, while avoiding cloud reliance.

Course Objectives:

Design and deploy secure local LLM solutions with Ollama
Customize models to meet specific needs and applications
Execute commands to control and monitor LLMs effectively
Develop Python apps to integrate with Ollama models
Create RAG systems using LangChain and vector databases
Configure user-friendly interfaces for seamless interaction

Architecting AI Solutions: Scalable GenAI Systems for the Future

Course Duration - 2 hrs 39 min

This course provides a deep dive into scalable Generative AI architectures, focusing on building robust, cloud-native solutions. Explore advanced techniques, hands-on simulations, and strategies for security and cost optimization. Equip yourself with skills to create resilient AI applications that meet modern demands.

Course Objectives:

Design scalable GenAI systems with advanced architectural techniques
Implement cloud-native solutions using microservices and containers
Develop resilient GenAI systems with robust error handling strategies
Apply security measures to prevent threats and safeguard AI models
Optimize GenAI infrastructure for cost efficiency and performance gains
Build end-to-end AI applications with real-world use case simulations

Essential Career Skills Pack

Productivity and Time Management

Course Duration - 30 min

It seems that there is never enough time in the day. But, since we all get the same 24 hours, why is it that some people achieve so much more with their time than others? This course will explain how to plan and prioritize tasks, so that we can make the most of the limited time we have. By using the time-management techniques in this course, you can improve your ability to function more effectively – even when time is tight and pressures are high. So, by the end of the course you will have the knowledge, skills and confidence to be an effective manager of your time.

Course Objectives:

Set your priorities to better manage your time
Improve your productivity by sharpening your focus and multitasking effectively

Detailed Course Outline:

Productiity & Time Management
Prioritization
Getting Things Done

Procrastination
Multitasking & Focus
Summary

Basic Digital Skills

Course Duration - 13 min

With the rise of digital transformation and technology, having a basic digital literacy is essential for all types of jobs, regardless of the industry. To stay competitive and be successful in the workplace, enhancing your digital skills should be a top priority.

Course Objectives:

Recall the essential digital skills framework
Elaborate on the toolkit of essential digital skills
Identify how to develop or improve your digital skills

Detailed Course Outline:

The Essential Digital Skills Framework
The Toolkit of Essential Digital Skills

Developing Digital Skills
Summary

4 Ways to Boost Creativity

Course Duration - 30 min

The digital economy is opening up ways for everyone to be creative. It doesn’t just mean being artistic – it’s more about ideas, solutions, alternatives, incremental improvements. Peter Quarry and Eve Ash discuss ways that mental capacity can be developed, perspectives changed, group power leveraged and making things actually happen.

Course Objectives:

Define creativity
Think outside the box
Develop the right mental attitude
Leverage the power of groups
Ensure managers make it happen

Detailed Course Outline:

What is Creativity at Work?
Learn to Think Outside the box
Develop the Right Mental Capacity

Laverage the Power of Groups
Ensure Managers Make It Happen
Summary

The 11 Essential Career Soft Skills

Course Duration - 1 hr 10 min

Soft Skills are the traits, characteristics, habits, and skills needed to survive and thrive in the modern work world. Soft skills aren't usually taught in school, but you will learn them all here in this course. Are you someone that other people in your organization and industry like to work with, collaborate with and partner with? Are you seen as a valuable asset to any new project that comes along?

This soft skills training course will teach you how to develop the skills that can make the difference between a lackluster career that tops out at middle management versus one that lands you in the executive suite. Or to wherever you define career success. So many soft skills seem like common sense at first glance, but they are not commonly applied by most workers. This soft skills training course will give you an edge over your competitors. It will also make your job, your career and your life more rewarding and enjoyable.

Course Objectives:

Understand how to be a great communicator
Become a stronger listene
Appear professional to co-workers and bosses of all ages
Avoid common career blunders that often end careers
Manage expectations for bosses and colleagues
Position yourself for promotions
Make technology your asset, even if you are afraid of technology
Avoid the Not My Job Syndrome
Develop EQ to Match Your IQ
Develop leadership qualities

Detailed Course Outline:

Introduction
The Soft Tech Savvy Way to Always Be Essential
Not My Job, And I Am Happy to Do It
You Can Become a Master Communicator
Feedback Video for The 11 Essential Career Soft Skills
Become a Leader Without the Title or Formal Authority

Your EQ Will Beat a Higher IQ
Building Your Winning Team
Make Every One of Your Seconds Count
Unleash Your Inner Anthony Robbins
Avoid Being Uncool
Clothes Can Still Make or Break Your Career
Conclusion The 11 Essential Career Soft Skills
Extra: Developing Your Career Secret Sauce

Related Generative AI & ChatGPT Information:

How Much Do AI Training Courses Cost?

Public instructor-led AI course prices start at $460 per student. Group training discounts are available.

Self-Paced AI eLearning courses cost $475 at the starting point per student. Group purchase discounts are available.

What Generative AI Skills Should I Learn?

A: If you are wondering what Generative AI skills are important to learn, we've written a Generative AI Skills and Learning Guide that maps out Generative AI skills that are key to master and which of our courses teaches each skill.

Read Our Generative AI Skills and Learning Guide

How Can I Learn Generative AI?

Learning Generative AI involves understanding the foundational concepts of artificial intelligence, machine learning, and deep learning, followed by hands-on practice with relevant tools and frameworks.

Certstaffix Training offers three efficient methods to pursue your Generative AI training: Engaging Live Online Classes, Tailored Onsite Corporate Training for teams and Self-Paced eLearning.

View our Generative AI courses and available training methods.

Is It Hard to Learn Generative AI?

Learning Generative AI can vary in difficulty depending on your background and prior knowledge of related concepts.

For individuals with experience in computer science, programming, or machine learning, the process may be more straightforward as it builds upon foundational principles in these areas. For beginners, there can be a steeper learning curve since understanding Generative AI requires grasping concepts like neural networks, data preprocessing, and algorithm training.

However, with the right resources, such as Certstaffix structured courses, hands-on practice, and guidance from experienced instructors, anyone can gradually develop a strong understanding of Generative AI. Like any skill, persistence and consistent practice are key to mastering it.

Does Generative AI Require Coding?

The need for coding in Generative AI largely depends on the tools and platforms being used, as well as the user's goals. Modern Generative AI platforms, such as ChatGPT or DALL·E, often provide user-friendly interfaces that require little to no coding knowledge. These tools enable users to generate content, images, or text through simple commands or prompts.

However, for those looking to customize or build their own Generative AI models, coding is typically required. This may involve knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch. Understanding coding can also help in fine-tuning models, integrating AI into larger systems, or creating uniquely tailored applications.

Bottom line, while coding can enhance the scope of possibilities, it is not usually necessary for leveraging Generative AI's capabilities as an end user.

Can Anybody Learn AI?

Absolutely, anyone with interest and dedication can learn AI. While having a background in mathematics, programming, or data science can be advantageous, they are not strict prerequisites. Numerous online courses, tutorials, and resources are available to cater to learners of all levels, from beginners to advanced practitioners. The key lies in starting with fundamental concepts, such as understanding algorithms and machine learning basics, and gradually advancing to more complex topics. With consistent effort, anyone can develop the skills required to explore and contribute to the exciting field of AI.

Is it Worth Doing an AI Course?

Deciding whether to pursue an AI course ultimately depends on your goals, interests, and career aspirations. AI is one of the fastest-growing fields, with applications spanning industries such as healthcare, finance, entertainment, and more. Taking a course can be a valuable investment, equipping you with the knowledge and skills to tap into these opportunities. Furthermore, structured courses often provide hands-on projects, mentorship, and certifications that can enhance your resume and increase your credibility in the job market.

However, it’s important to assess the quality of the course and its relevance to your objectives. A well-structured AI course should provide a balance of theoretical knowledge, like understanding algorithms or neural networks, and practical experience with tools such as TensorFlow or PyTorch. Whether you aim to transition into a career in AI, enhance your current role, or simply satiate your curiosity, an AI course can offer significant value when aligned with your ambitions and commitment to learning.

How Is AI Used in Excel?

A: Many of Excel's features and functions are powered by artificial intelligence (AI) or have AI-like capabilities. These tools work to process large amounts of data for users, streamline workflows, and increase accuracy. Some of the best applications of AI in Excel include data analysis, data visualization, and formula generation, but it can also supercharge basic functions. Copilot allows users to harness the power of AI through prompts to provide relevant suggestions and shortcuts. Additionally, ChatGPT can be integrated with the program through the use of an add-on or used in tandem with Excel.

More Information on How Excel Integrates With AI

Where Can I Learn More About AI?

AI Blogs

AI Groups

AI Online Forums

Explore AI Classes Near Me:

Certstaffix Training provides AI classes near me or online, depending on the number of students involved. We offer online courses for individual learners, as well as in person classes at your office for corporate groups. Our trainers are highly experienced professionals with the expertise necessary to help you gain a thorough understanding of AI concepts and tools. With our courses available online for individuals or in person for corporate groups, it's easy to develop your AI skills. Start learning today and see how Certstaffix Training can help you reach your goals.

AL

AI Classes Birmingham

AR

AI Classes Fayetteville
AI Classes Little Rock

AZ

AI Classes Phoenix
AI Classes Tucson

CA

AI Classes Bakersfield
AI Classes Fresno
AI Classes Los Angeles
AI Classes Oxnard
AI Classes Sacramento
AI Classes San Diego
AI Classes San Francisco
AI Classes San Jose

CO

AI Classes Colorado Springs
AI Classes Denver

CT

AI Classes Hartford
AI Classes New Haven
AI Classes Stamford

D.C.

AI Classes Washington, DC

FL

AI Classes Daytona Beach
AI Classes Fort Myers
AI Classes Jacksonville
AI Classes Lakeland
AI Classes Miami
AI Classes Orlando
AI Classes Sarasota
AI Classes Tampa

GA

AI Classes Atlanta
AI Classes Augusta

HI

AI Classes Honolulu

IA

AI Classes Des Moines

ID

AI Classes Boise

KS

AI Classes Wichita

IL

AI Classes Chicago

IN

AI Classes Indianapolis

KY

AI Classes Louisville

LA

AI Classes Baton Rouge
AI Classes New Orleans

MA

AI Classes Boston
AI Classes Springfield
AI Classes Worcester

ME

AI Classes Portland

MI

AI Classes Detroit
AI Classes Grand Rapids

MD

AI Classes Baltimore

MN

AI Classes Minneapolis

MO

AI Classes Kansas City
AI Classes St. Louis

MS

AI Classes Jackson

NC

AI Classes Charlotte
AI Classes Durham
AI Classes Greensboro
AI Classes Raleigh
AI Classes Winston-Salem

NE

AI Classes Omaha

NM

AI Classes Albuquerque

NV

AI Classes Las Vegas

NY

AI Classes Albany
AI Classes Buffalo
AI Classes New York City
AI Classes Poughkeepsie
AI Classes Rochester
AI Classes Syracuse

OH

AI Classes Akron
AI Classes Cincinnati
AI Classes Cleveland
AI Classes Columbus
AI Classes Dayton
AI Classes Toledo

OK

AI Classes Oklahoma City
AI Classes Tulsa

OR

AI Classes Portland

PA

AI Classes Allentown
AI Classes Harrisburg
AI Classes Philadelphia
AI Classes Pittsburgh
AI Classes Scranton

RI

AI Classes Providence

SC

AI Classes Charleston
AI Classes Columbia
AI Classes Greenville

TN

AI Classes Chattanooga
AI Classes Knoxville
AI Classes Memphis
AI Classes Nashville

TX

AI Classes Austin
AI Classes Dallas
AI Classes El Paso
AI Classes Houston
AI Classes McAllen
AI Classes San Antonio

UT

AI Classes Salt Lake City

VA

AI Classes Richmond
AI Classes Virginia Beach

WI

AI Classes Madison
AI Classes Milwaukee

WA

AI Classes Seattle
AI Classes Spokane

Explore More Locations

Registration:

Have a Group?
Request Private Training

Online Class

Self-Paced eLearning

Start your training today!

Search Courses