Introduction to Artificial Intelligence
Basics of AI, its history, and key applications across industries.
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At Valuable Consulting & Technologies, we help organizations unlock the power of Artificial Intelligence through a combination of strategic consulting and hands-on training programs. Our mission is to bridge the gap between AI potential and real-world business impact.
AI Consulting – We work closely with businesses to assess AI readiness, identify high-value use cases, and design custom AI roadmaps aligned with their goals. From process automation to advanced analytics, generative AI, and computer vision, we provide end-to-end guidance—from strategy to deployment—ensuring measurable ROI.
AI Trainings – Our structured learning paths cover everything from AI fundamentals to advanced specializations like Machine Learning, Deep Learning, Generative AI, NLP, and MLOps. Designed for both technical teams and business leaders, our trainings blend theory, real-world case studies, and practical labs to ensure immediate applicability.
With expert-led sessions, industry-grade tools, and customized content, we empower your teams to innovate, adapt, and lead in the AI-driven future.
Basics of AI, its history, and key applications across industries. Intro to data analysis workflows in R for exploring and preparing data. Supervised & unsupervised learning. Simple models: Linear Regression, Decision Trees. Python fundamentals and AI libraries such as scikit-learn and TensorFlow. Data preprocessing, cleaning, and visualization using Pandas, NumPy, Matplotlib, and Seaborn. Ethical implications of AI, addressing dataset bias, ensuring fairness and transparency in models.
Introduction to Artificial Intelligence
R for Data Analytics
Fundamentals of Machine Learning
Python for AI
Data Science Basics
Ethics and Bias in AI
Neural network basics, activation functions, and hands-on implementation with Keras or PyTorch. Image processing, convolutional neural networks (CNNs), and basic object recognition. Transformers, embeddings, and text generation using models like BERT. Metrics such as precision, recall, F1-score, and tuning methods like cross-validation and grid search. Practical applications including chatbots, recommendation systems, and process automation. End-to-end AI project design and development for real-world use cases. Governance, risk, and compliance in AI, including ISO 42001:2023, EU AI Act, US AI Bills, NIST, OECD AI principles, and AI cybersecurity. Understanding and leveraging large language models for diverse AI tasks.
Deep Learning Fundamentals
Computer Vision Basics
Intermediate NLP
Model Evaluation and Tuning
AI in Business Applications
Building AI Applications
AI from GRC Perspective
LLM Models
Architectures like GPT and Stable Diffusion, plus prompt engineering techniques. GANs, LSTMs, and transformers for tasks such as image synthesis and translation. Deploying models with Docker and FastAPI, plus CI/CD and production monitoring. Integrating text, images, and audio using models such as CLIP and DALL·E. From concept to production, creating optimized prompts for AI applications. Leveraging generative AI to improve software testing workflows and business strategy. Exploring the intersection of quantum computing and AI innovations. Building advanced AI apps with Generative AI frameworks and LangChain. Hands-on training in building autonomous AI agents and workflows.
Generative AI
Advanced Deep Learning Architectures
MLOps and Model Deployment
Multimodal AI
Advanced Prompt Engineering
GenAI for Software Testing & Business Leaders
Quantum Computing – A Converging Future
GenAI and LangChain for Advanced AI Applications
Agentic AI Workshop
