Multimodal AI Applications Across Industries Training Course

Module 1: Foundations of Multimodal AI and Fusion Strategies

• Understanding the "Modality Gap": How AI perceives different data types
• Early Fusion vs. Late Fusion vs. Hybrid Fusion: Choosing the right architecture
• Joint Embeddings and Latent Space: Aligning text, images, and audio
• Introduction to Contrastive Learning and the CLIP architecture
• Overview of the multimodal tech stack: Hugging Face, PyTorch, and Vertex AI
• Practical session: Building a simple joint-embedding space to match text descriptions with images

Module 2: Vision-Language Models (VLM) and Image Understanding

• Evolution of image captioning: From CNN-RNN to Transformer-based models
• Visual Question Answering (VQA): Teaching AI to "read" and reason about images
• Zero-shot image classification and object detection using natural language
• Grounding language in vision: Mapping specific words to visual regions
• Advanced techniques in Document AI: Extracting data from complex layouts and forms
• Practical session: Implementing a zero-shot object detector to identify custom objects using text prompts

Module 3: Audio-Visual Integration and Speech Intelligence

• Synchronizing audio and video: Temporal alignment and lip-syncing technologies
• Speech-to-Text (STT) and Text-to-Speech (TTS) in multimodal workflows
• Multimodal sentiment analysis: Combining vocal tone, facial expression, and text
• Audio-visual speaker diarization: Identifying who is speaking using sight and sound
• Automated video summarization and highlight generation using multimodal cues
• Practical session: Building a meeting assistant that transcribes speech and identifies speakers using visual cues

Module 4: Multimodal Large Language Models (MLLMs) in Practice

• Architecture of MLLMs: Understanding GPT-4o, Gemini, and Claude 3.5 Sonnet
• Tokenization across modalities: How models "read" images as text
• Prompt engineering for multimodal models: Effective multi-input strategies
• Fine-tuning MLLMs for domain-specific tasks using LoRA and QLoRA
• Instruction following in multimodal environments: Planning and execution
• Practical session: Fine-tuning an open-source MLLM to analyze and describe specialized technical diagrams

Module 5: Multimodal RAG and Knowledge Retrieval

• Beyond Text-RAG: Indexing images, PDFs, and videos for semantic search
• Multimodal Vector Databases: Storing and retrieving high-dimensional embeddings
• Cross-modal retrieval: Finding videos or images using complex natural language queries
• Re-ranking strategies for multimodal search results
• Designing "Visual Search" engines for mobile and web applications
• Practical session: Developing a Multimodal RAG pipeline to retrieve relevant product images based on text queries

Module 6: Multimodal AI in Healthcare and Medical Diagnostics

• Integrating EHR (Electronic Health Records) with medical imaging (X-rays, MRIs)
• AI-driven radiology reporting: Automatically generating text from scans
• Predictive analytics using multi-omics data and patient history
• Multimodal monitoring in ICUs: Combining vitals, audio alerts, and video feeds
• Facilitating doctor-patient interactions with real-time multimodal transcription
• Practical session: Building a prototype that assists in diagnosing skin conditions using images and patient symptoms

Module 7: Transforming Retail and E-commerce with Cross-Modal AI

• Hyper-personalized recommendations: Matching visual style with purchase history
• Virtual try-on and Augmented Reality (AR) integration via multimodal AI
• Automated product cataloging: Generating titles and tags from product photos
• Social media listening: Analyzing brand sentiment in videos and images
• Intelligent inventory management using shelf-camera and transaction data fusion
• Practical session: Creating an "AI Stylist" that recommends outfits based on an uploaded photo and user preferences

Module 8: Intelligent Manufacturing and Industrial Sensor Fusion

• Predictive maintenance: Combining vibration, thermal imaging, and sound data
• Autonomous quality control: Visual inspection coupled with acoustic anomaly detection
• Digital Twins: Synchronizing physical sensor data with 3D visual models
• Human-Robot Collaboration: Agents that understand visual gestures and voice commands
• Worker safety monitoring: Detecting PPE compliance through multi-camera fusion
• Practical session: Designing an anomaly detection system for a production line using audio and video feeds

Module 9: Multimodal Applications in Finance and Security

• Advanced Fraud Detection: Correlating behavioral biometrics with transaction logs
• Multimodal KYC (Know Your Customer): Verifying identity through video and document fusion
• Analyzing earnings calls: Combining financial spreadsheets with vocal sentiment
• Real-time threat detection in surveillance: Identifying suspicious behavior and stressed voices
• Algorithmic trading: Integrating news sentiment (text) with market chart patterns (vision)
• Practical session: Developing a fraud detection model that analyzes both transaction data and user behavioral patterns

Module 10: Scaling, Deployment, and Ethics of Multimodal Systems

• Optimizing inference for multimodal models: Quantization and pruning techniques
• Edge deployment: Running multimodal models on mobile and IoT devices
• Managing data privacy in multisensory collection (Audio/Video consent)
• Auditing for cross-modal bias: Ensuring fairness across all input types
• The Future of Multimodal AI: Toward General Purpose World Models
• Practical session: Benchmarking the performance and latency of a multimodal model on a simulated edge device

Requirements:

• Participants should be reasonably proficient in English.
• Applicants must live up to Phoenix Training Center admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@phoenixtrainingcenter.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254725012095 / +254724452588

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.

2. Invoice: We can send a bill directly to you or your company.

3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

2. Participants may cancel attendance 14 days or more prior to the training commencement date.

3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@phoenixtrainingcenter.com

Accommodation and Airport Transfer

Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@phoenixtrainingcenter.com or on Tel: +254720272325 / +254725012095 / +254724452588