Description

Certification Name: Certified Artificial Intelligence (AI) Engineer

Global Occupational Skill Standard – GOSS ID: GOSS/CIT/CAIE/V1

Duration: One Month

Eligibility: Graduation or Equivalent is required.

Objective: The Certified Artificial Intelligence (AI) Engineer course is designed to equip professionals with the knowledge and skills to design, develop, and deploy AI-based solutions across various industries. The course covers core AI concepts, machine learning algorithms, deep learning, natural language processing (NLP), computer vision, data preprocessing, model training, and deployment.

Certification: Within 5 days after Completion of Online Assessment.

Get ready to join the Journey to become a GSDCI Certified Professional  – International Certification and Assessment Body.

Steps to become a GSDCI Certified Professional:

Step 1: Select your certification you want to pursue.

Step 2: Click on get certified tab, new pop up window will open.

Step 3: Click on pay certification fee, you will be redirected to billing details page.

Step 4: Fill your details and click on pay certification fee, you will be redirected to payment gateway, pay fee by any available options like Card (Debit/Credit), Wallet, Paytm, Net banking, UPI and Google pay.

Step 5: You will get Login Credentials of Online E-Books and Online assessment link on your email id, within 48 hrs of payment.

Step 6: After completion of online assessment, you can download your Certificate Immediately.

Assessment Modules:

Module 1 – Foundations of AI & Programming: Introduction to artificial intelligence and historical developments, Mathematical foundations (linear algebra, probability, statistics, calculus), Programming for AI (Python basics, data types, functions, libraries), Data structures & algorithms relevant to AI, Data engineering for AI: data acquisition, cleaning, pipelines, Exploratory data analysis and visualization

Module 2 – Machine Learning Algorithms & Techniques: Supervised learning (regression, classification, decision trees, SVMs), Unsupervised learning (clustering, dimensionality reduction, PCA), Ensemble methods and boosting (Random Forest, XGBoost, bagging), Model evaluation, validation and hyper‑parameter tuning, Feature engineering, selection and extraction, Handling imbalanced data, over‑fitting, under‑fitting

Module 3 – Deep Learning & Neural Networks: Basic neural network architecture (layers, activation functions, loss, backpropagation), Convolutional Neural Networks (CNNs) for image data, Recurrent Neural Networks (RNNs), LSTM/GRU for sequential data, Transfer learning and pre‑trained models, Generative models (GANs, autoencoders)

Module 4 – Natural Language Processing, Computer Vision & Multimodal AI: Text preprocessing, tokenisation, embeddings (Word2Vec, GloVe, BERT etc.), Sequence‑to‑sequence models, attention mechanisms and transformers, Computer vision tasks: image classification, object detection, segmentation, Multimodal AI: combining vision, text, audio, Use‑cases and applications in real‑world domains

Module 5 – AI Deployment, MLOps & Cloud Integration: Model deployment strategies (APIs, microservices, edge, mobile), MLOps lifecycle: model versioning, monitoring, governance, Continuous integration/continuous deployment for AI models, Cloud platforms for AI (AWS, Azure, GCP) and serverless AI services, Scalability, performance optimisation, inference latency and cost considerations, Ethical AI and bias mitigation in deployed systems

Module 6 – Emerging Trends, Strategy & Ethical Considerations in AI: Reinforcement learning and autonomous systems, Foundation models and large language models (LLMs), AI for IoT, edge computing, and robotics, AI governance, regulation and responsible AI (bias, fairness, privacy), Business strategy for AI: road‑map, value realisation, change management, Future of AI: quantum AI, explainable AI (XAI), sustainability and social impact

GSDCI Online Assessment Detail:

• Duration- 60 minutes.
• Number of Questions- 30.
• Number of Questions from each module: 5.
• Language: English.
• Exam Type: Multiple Choice Questions.
• Maximum Marks- 100, Passing Marks- 50%.
• There is no negative marking in any module.

Benefits of Certification:

🌍 1. Global Recognition & Credibility – Stand out worldwide with a certification that opens doors across borders. Trusted by employers, respected by institutions, and recognized in over 100 countries.

📜 2. Quality Assurance through ISO Certification – Certified to global ISO standards, our programs deliver excellence, consistency, and a benchmarked learning experience that speaks for itself.

💼 3. Career Advancement & Employability – Enhances your resume and increases chances of promotions or job offers.

🤝 4. Non-Profit Trust Factor – Certifications from non-profit organizations are mission-driven rather than profit-driven.

📚 5. Access to Verified Learning & Resources – Often includes e-books, mock tests, and online support without hidden costs.

🔍 6. Transparency & Online Verification – Certifications come with a unique Enrolment ID for easy online verification by employers and institutions.

⏳ 7. Lifetime or Long-Term Validity – Certifications usually have lifetime validity or long-term recognition, reducing the need for frequent renewals.