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Stay ahead of the curve with our intensive 5-day certification program. This course is the official successor to AI-900 and AI-102, redesigned to focus on the future of development: Generative AI and Agentic Applications.
Participants will gain hands-on expertise in building intelligent agents, implementing complex knowledge connections, and leveraging multimodal capabilities to process sophisticated content. Elevate your teamโs ability to deploy functional, tool-augmented AI solutions in just one week.
In this intensive 5-day bootcamp, students will earn their MCA Azure AI App & Agent Developer Associate credential by completing both the AI-901 and AI-103 exams. This instructor-led, hands-on experience provides the practical skills necessary to secure Azure AI environments, with all certification exams conveniently administered during the course.
EXAMS INCLUDED
AI-901: Microsoft Azure AI Fundamentals
AI-103: Azure AI Apps and Agents Developer Associate
Prerequisites
Before taking this course, students should have:
Experience using computers and the internet.
Interest in use cases for AI applications and machine learning models.
A willingness to learn through hands-on exploration.
Basic understanding of programming concepts (Python or similar recommended)
Familiarity with cloud computing concepts (preferably Microsoft Azure)
General understanding of APIs and application development
Introductory knowledge of AI concepts and terminology
Experience using common development tools and environments
Our Facilities
CAREER CAMPS FACILITIES
CAMPUS – Career Camps built out a stand alone training center (not a hotel conference room) with spacious classrooms, new desk, Herman Miller Aeron chairs & comfortable common areas. Each student has a dedicated desk with two monitors. Each classroom has a maximum of two rows – so everyone is able to be engaged without the “back row” feeling.
CLASSROOM EQUIPMENT – Students work on a dedicated Dell Client Desktop with 32GB memory with 512GB SSD drives – All Labs are executed the extremely fast Microsoft Data Center Hosted Lab Environment.
CAMPUS INTERNET – The campus is connected with a 1Gbps (1,000 Mbps) Verizon Fios Business Connection which provides complete internet (including VPN) access for students.
COMMON AREA – Amenities including snacks, drinks (Coffee, 100% juices, sodas, etc) all complimentary.
LODGING – We use the Hyatt Place Lakewood Ranch. This “upgraded” hotel offers extremely comfortable beds, great breakfast and very fast internet access.
NEAR BY AMENITIES –ย Many shops, restaurants and grocery options are available within walking distance. Additionally – the hotel provided scheduled shuttle services. Restaurants like Bone Fish Grill, Ruby Tuesday’s, Five Guys, Chipotle, Quiznos, Chili’s and over 20 additional choices in the immediate area. All of these options are offered in a pedestrian walking village.
Why Choose Us
CAREER CAMPS DIFFERENCE
Career Camps provides an in-depth hands on learning environment. Our instructors teach using demonstrations and explain concepts beyond the scope of the courseware. The best instructors are contracted from all across the US.ย These professionals are real world consultants who actually implement these technologies. Career Camps knows our clients work in the “real world” andย it only makes sense to have an instructor with the experience in the real world.
Facilitiesย – Many of our competitors over-crowd classrooms by placing 2 toย 3 students per desk and 20+ students per instructor. Often these companies “extend” the life of very old equipment with slow performance on the software used today. Our average class size is 8 students.ย Our facilities have the best equipment with the most comfortable, focused environment for learning.
Instructorsย – Our CEO, Chester Flake holds one of the rarest Microsoft Certifications – the Microsoft Certified Learning Consultant (MCLC) Certification.ย This certification reflects aย commitment to make sure our instructors are also actively engaged in real world consulting projects. Students expect a professional who can answer questions and demonstrate the technology.
Face to Face Training –ย We believe the best way to interact and learn is face to face training. ย Many of our competitors which offerย localย training are simply providing students with headphones/mic to attend class with an instructor at a remote location.
Test Pass –ย We offer a free retake voucher (if needed) for each of the exams required for certification. Any training center offering a “100% pass guarantee” would have to use unethical practices or unlimited test vouchers (which isย not likely or practical).
Distractions –ย Students often look for a “local” training center so they can be close to home and work. Boot camp requires a tremendous time commitment during the program.ย Long class hours combined with self study each evening. The goal of boot camp is toย achieve certification in a fraction of the time. We strongly recommend students attend camp away from home and work in a focused, distraction free environment.
Boot Camp –ย Boot camp is an accelerated training focused on teaching technology and testing students on the official exams.ย Most training providers “added” boot camps to the existing standard training classes they offer. ย These training centers think a boot camp is just a regular class where you send the student home with a voucherย on the last day. ย Career Camps ย administers exams throughout the camp. Equally important – not every trainer can teach a boot camp and not all courseware is designed for boot camp format.ย ย Our trainersย know the boot camp format and our courseware is designedย for accelerated learning.
Florida –ย Career Campsย has one of the most scenic locations boasting some of the best weather in US. We believe students should have a comfortable and inviting atmosphere while attending these otherwise intense programs. We place our location, facilities andย amenities up against that any competitor.
Microsoft Gold Learning Partner
Career Camps has developed a comprehensive training / delivery format which focuses on learning beyond the core content accessible to any Microsoft training provider. Our program incorporates interactive demonstrations with explanations which go beyond the content of the book. Additional content, videos, labs & demonstrations are provided to expand on advanced topics – providing additional insight and perspective. ย
Career Camps training is not the typical book & PowerPoint presentation found at any local training center.
As a Microsoft Certified Partner with Gold Learning Competency – we adhere to the strict guidelines, standards and requirements to use Microsoft’s exclusive curriculum. More over – our standards go beyond the “minimum requirements” set forth by Microsoft Learning.
We leverage our partnership benefits of courseware customization to build end to end technology training solutions. Students gainย practical skills which can be implemented immediately.
At most training centers – learning starts on the first day of class and ends on the last day. Our boot camp training program is designed to offer resources before, during and after.
What You'll Learn
In this course, you will:
Gain a solid foundation in AI concepts including machine learning, NLP, computer vision, and generative AI.
Learn hands-on with Azure AI Foundry to build and test intelligent applications.
Understand real-world applications of AI such as text analysis, speech recognition, image analysis, and information extraction.
Explore responsible AI practices to design solutions that are ethical and trustworthy.
Prepare for more advanced AI projects by establishing a strong base in both theory and Azure tools.
Design and build end-to-end AI solutions using Microsoft Foundry and Azure
Select, deploy, and evaluate AI models based on performance and use case
Develop generative AI applications, including chat-based and tool-enabled solutions
Optimize AI outputs using prompt engineering, RAG, and fine-tuning techniques
Build and integrate AI agents, including multi-agent and workflow-driven solutions
Create applications that process and generate text, speech, images, and video
Extract insights from documents and unstructured data using AI services
Implement responsible AI practices, including risk mitigation and governance
Integrate AI solutions with enterprise platforms such as Microsoft 365
Course Outline
Introduction to AI concepts
Introduction to AI
Generative AI and agents
Text and natural language
Speech
Computer vision
Information extraction
Responsible AI
Introduction to generative AI and agents
Large language models (LLMs)
Prompts
AI agents
Introduction to natural language processing concepts
Tokenization
Statistical text analysis.
Semantic language models
Introduction to AI speech concepts
Speech-enabled solutions
Speech recognition
Speech synthesis
Introduction to computer vision concepts
Computer vision tasks and techniques
Images and image processing
Convolutional neural networks
Vision transformers and multimodal models
Image generation
Introduction to AI-powered information extraction concepts
Overview of information extraction
Optical character recognition (OCR)
Field extraction and mapping
Get started with AI in Azure
Understand Azure
Developing AI apps on Azure
Microsoft Foundry for AI
Using Microsoft Foundry endpoints
Get started with Generative AI and agents in Azure
Generative AI models
Using a generative AI model
Creating an agent
Get started with text analysis in Azure
Understand text analysis in Foundry
Create a client application that analyzes text
Use Azure Language with an agent
Get started with Speech in Azure
Speech recognition
Speech synthesis
Creating a speech-capable agent
Get started with Computer vision in Azure
Multimodal models for image analysis
Image generation models
Video generation models
Get started with AI-powered information extraction in Azure
Extract information from documents
Extract information from audio and video
Plan and prepare to develop AI solutions on Azure
What is AI?
Microsoft Foundry
Foundry Tools
Developer tools and SDKs
Responsible AI
Select, deploy, and evaluate Microsoft Foundry models
Explore the model catalog
Select models using benchmarks
Deploy models to endpoints
Evaluate model performance
Develop a generative AI chat app with Microsoft Foundry
Explore with the model playground
Choose an endpoint and SDK
Generate responses with the Responses API
Generate responses with the ChatCompletions API
Develop generative AI apps that use tools
What are tools?
Use the code_interpreter tool
Use the web_search tool
Use the file_search tool
Use the function tool
Optimize generative AI model performance with Microsoft Foundry
Optimize model output with prompt engineering
Ground your model with Retrieval Augmented Generation
Fine-tune a model for consistent behavior
Compare and combine optimization strategies
Implement a responsible generative AI solution in Microsoft Foundry
Plan a responsible generative AI solution
Map potential harms
Measure potential harms
Mitigate potential harms
Manage a responsible generative AI solution
Develop AI agents with Microsoft Foundry and Visual Studio Code
Understand AI agents and Microsoft Foundry Agent Service
Explore development approaches
Build your first agent in Microsoft Foundry
Set up Visual Studio Code for agent development
Configure and manage agents in Visual Studio Code
Extend agent capabilities with tools
Test, deploy, and integrate agents
Integrate custom tools into your agent
Why use custom tools
Options for implementing custom tools
How to integrate custom tools
Integrate MCP Tools with Azure AI Agents
Understand MCP tool discovery
Integrate agent tools using an MCP server and client
Use Azure AI agents with MCP servers
Build knowledge-enhanced AI agents with Foundry IQ
Understanding RAG for agents
Explore Foundry IQ
Configure data sources for knowledge bases
Configure retrieval with Foundry IQ
Integrate your agent with Microsoft 365
Understand Foundry agent publishing options
Publish an agent from Foundry portal to Teams
Advanced โ Use Microsoft 365 Agents Toolkit
Access Microsoft 365 data with Work IQ
Test and iterate your integrated agent
Build agent-driven workflows using Microsoft Foundry
Understand Workflows
Identify Workflow Patterns
Create workflows in Microsoft Foundry
Add Agents to a Workflow
Apply Power Fx in Workflows
Maintain Workflows in Microsoft Foundry
Use workflows in code
Develop an AI agent with Microsoft Agent Framework
Understand Microsoft Agent Framework AI agents
Create an Azure AI agent with Microsoft Agent Framework
Add tools to Azure AI agent
Orchestrate a multi-agent solution using the Microsoft Agent Framework
Understand the Microsoft Agent Framework
Understand agent orchestration
Use concurrent orchestration
Use sequential orchestration
Use group chat orchestration
Use handoff orchestration
Use Magnetic orchestration
Discover Azure AI Agents with A2A
Define an A2A agent
Implement an agent executor
Host an A2A server
Connect to your A2A agent
Analyze text with Azure Language in Foundry Tools
Azure Language in Microsoft Foundry Tools
Detect language
Extract entities
Extract personally identifiable information (PII)
Develop a text analysis agent with the Azure Language MCP server
Understand the Azure Language MCP server
Connect and use the Language MCP server with an agent
Develop a speech-capable generative AI application
Choose a speech-capable model
Transcribe speech
Synthesize speech
Create speech-enabled apps with Azure Speech in Microsoft Foundry Tools
Azure Speech in Foundry Tools
Use the Speech to Text API
Use the Text to Speech API
Configure audio format and voices
Use Speech Synthesis Markup Language
Develop a speech agent with the Azure Speech MCP server
Understand the Azure Speech MCP server
Connect and use the Speech MCP server with an agent
Develop an Azure Speech Voice Live Agent in Microsoft Foundry
Explore the Azure Voice Live API
Explore the AI Voice Live client library for Python
Create a Voice Live agent
Translate text and speech with Microsoft Foundry Tools
Translation in Microsoft Foundry
Translate text
Translate speech
Develop a vision-enabled generative AI application
Use a vision-capable model in the Microsoft Foundry portal
Develop a vision-based chat app
Generate images with AI
What are image-generation models?
Explore image-generation models in Microsoft Foundry portal
Create a client application that uses an image generation model
Generate videos with Microsoft Foundry
Deploy a video generating model
Generate video from a prompt
Generate video in Python
Analyze images with content Understanding
What is Content Understanding?
Analyze images with Content Understanding
Create a multimodal analysis solution with Azure Content Understanding
What is Azure Content Understanding?
Create a Content Understanding analyzer
Use the Content Understanding API
Create an Azure Content Understanding client application
Prepare to use the AI Content Understanding API
Create a Content Understanding analyzer
Analyze content
Extract data with Azure Document Intelligence
What is Azure Document Intelligence?
Use the Document Intelligence Studio
Use prebuilt models
Train and use custom models
Create a knowledge mining solution with Azure AI Search
What is Azure AI Search?
Extract data with an indexer
Enrich extracted data with AI skills
Search an index
Persist extracted information in a knowledge store
What is the Azure AI App & Agent Developer Associate Boot Camp?
The MCA Azure AI App & Agent Developer Associate Boot Camp is an intensive Microsoft Azure AI training program designed to help developers and IT professionals build intelligent applications and AI agents using Microsoft Azure. The program combines foundational AI knowledge with practical Azure AI development skills and prepares students for the AI-901 and AI-103 certification exams.
What certifications can I earn through this Azure AI boot camp?
This boot camp is designed to prepare participants for the Microsoft Azure AI Fundamentals (AI-901) and Azure AI Apps and Agents Developer Associate (AI-103) exams. The two certifications provide a progression from foundational Azure AI concepts to more advanced AI application and agent development skills.
Do I need previous Azure or AI experience?
The AI-901 portion provides foundational AI and Azure knowledge, making it accessible to professionals who are newer to artificial intelligence. However, the AI-103 portion is more technical and is best suited for individuals with programming, software development, or Azure experience.
What is an AI agent?
An AI agent is a software system that can use AI models, tools, data, and instructions to perform tasks and respond to user requests. Azure provides tools and services that developers can use to build, deploy, and manage intelligent AI agents and applications.
What programming skills are recommended for AI-103?
Programming experience is recommended for the AI-103 portion of the course. Familiarity with application development, APIs, cloud services, and software development concepts can help participants get the most from the training.
Why should I take both AI-901 and AI-103 training?
Taking both courses provides a structured progression from foundational Azure AI knowledge to practical AI application and agent development. AI-901 establishes the fundamentals, while AI-103 builds the technical skills needed to develop and deploy AI-powered applications and agents on Azure.