Artificial Intelligence Engineering Certification


Develop Future-Ready Skills Today
Taught by AI/ML Engineers/Architects from USA to help you transform your career and
land your dream job

This course is exclusively offered in the classroom section among the three options available (Self-paced, Blended, Classroom). Click on the classroom section to access more detailed information.

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Course Information

Duration

80 to 100 hours / 8 Weeks/ 24/7 Full Access to the Labs and Support

Exam Time

2 Hours Exam

Course Type

Classroom

Structure

Modules

Module 1

  • Introduction to Artificial Intelligence

Module 2

  • Fundamentals of Machine Learning

Module 3

  • Deep Learning Basics

Module 4

  • Natural Language Processing (NLP) Fundamentals

Module 5

  • AI Ethics, Bias, and Future Trends
  • Exam

Course Details

Introduction to Artificial Intelligence


    Morning Session:
  • Understanding the fundamentals of artificial intelligence (AI)
  • Exploring the history and evolution of AI
  • Differentiating between narrow AI and general AI
  • Introduction to key AI concepts: machine learning, deep learning, neural networks, and natural language processing
    Afternoon Session:
  • Applications of AI in various industries: healthcare, finance, marketing, and more
  • Exploring real-world examples of AI technologies and their impact
  • Interactive discussion and Q&A session

Fundamentals of Machine Learning


    Morning Session:
  • Introduction to machine learning (ML) and its importance in AI
  • Understanding supervised, unsupervised, and reinforcement learning
  • Overview of key ML algorithms: linear regression, logistic regression, decision trees, and k-nearest neighbors
    Afternoon Session:
  • Hands-on coding exercises using Python and popular ML libraries (e.g., scikit-learn)
  • Building and training basic ML models
  • Evaluation metrics for assessing model performance
  • Practical tips for data preprocessing and feature engineering

Deep Learning Basics


    Morning Session:
  • Introduction to deep learning and neural networks
  • Understanding the architecture of artificial neural networks (ANNs)
  • Exploring activation functions, layers, and loss functions
  • Overview of popular deep learning frameworks: TensorFlow and PyTorch
    Afternoon Session:
  • Hands-on deep learning exercises using TensorFlow or PyTorch
  • Building and training simple neural networks for classification and regression tasks
  • Introduction to convolutional neural networks (CNNs) for image recognition
  • Practical applications and case studies of deep learning in various domains

Natural Language Processing (NLP) Fundamentals


    Morning Session:
  • Introduction to natural language processing (NLP) and its applications
  • Understanding the challenges and complexities of processing human language
  • Overview of NLP tasks: tokenization, part-of-speech tagging, named entity recognition, sentiment analysis, and text classification
    Afternoon Session:
  • Hands-on NLP exercises using Python and libraries such as NLTK and spaCy
  • Building basic NLP pipelines for text preprocessing and analysis
  • Introduction to word embeddings and pre-trained language models (e.g., Word2Vec, GloVe, BERT)
  • Practical applications of NLP in chatbots, sentiment analysis, and document classification

AI Ethics, Bias, and Future Trends


    Morning Session:
  • Understanding the ethical implications of AI technologies
  • Exploring issues of bias, fairness, transparency, and accountability in AI systems (ANNs)
  • Introduction to AI governance frameworks and regulations
    Afternoon Session:
  • Discussing the future of AI and emerging trends
  • Exploring advanced topics such as reinforcement learning, generative adversarial networks (GANs), and AI for robotics
  • Interactive group project or presentation on a selected AI topic
  • Recap of key learnings, final Q&A session, and course conclusion
Generative AI platforms are revolutionizing the way we do business. The course provides a practical grounding in artificial intelligence (AI) and its business applications, equipping you with the knowledge and confidence you need to transform your organization into an innovative, efficient, and sustainable company of the future.

Artificial intelligence (AI) has moved into the mainstream, driven by advances in cloud computing, big data, open-source software, and improved algorithms. Generative AI, in particular, has emerged as a transformative force, reshaping industries and business paradigms. This technology empowers organizations with creative capabilities, fostering innovation, personalization, and efficiency through predictive insights and task automation.

Artificial intelligence (AI) is no longer just a futuristic sci-fi trope — it’s here now, and it’s here to stay. Innovative technologies are revolutionizing business as we know it, and they’re more accessible than ever.

But to truly harness AI's transformative potential, you need to know how and when to use it. This online practical course will help you develop a practical, realistic grounding in AI and its business applications.

Friends with no previous interest in AI ethics have begun asking me questions after the release of ChatGPT4, Bard, and Bing Chat. This new generation of large language models has made headlines and sparked widespread debate.

This course seamlessly combines technical knowledge with managerial perspectives, ethical considerations, and human factors, providing a comprehensive understanding of digital transformation strategies leveraging AI as a driving force for change. As generative AI continues to transcend traditional sectors, businesses can anticipate seismic shifts in product offerings, ranging from personalized healthcare solutions to AI-driven financial products. The AI Applications for Growth online program is designed to assist you in harnessing the power of AI to create customer value and gain a competitive advantage to leverage its limitless potential in your business journey.

To help you understand AI as the most significant commercial opportunity of our lifetime and the potential it offers your organization, this program provides frameworks to build an effective AI implementation plan and delves into the transformative capabilities of generative AI.

The course introduces students to fundamental concepts of AI and is helpful for:

  • Open the doors for substantial job opportunities both nationally and internationally. Transition to AI Engineering roles at Tier-I companies. Senior leaders grappling with the potential opportunities and challenges of generative AI for their businesses.
  • Technology leaders who want to learn current best practices for adopting and optimizing generative AI systems to boost business outcomes. Senior managers and mid-career executives who want to gain insights into the potential applications of generative AI within their organizations.
  • Innovation managers, sales and product managers, and marketing and customer experience professionals who want to learn how to leverage generative AI to create new products, new content, and personalized customer experiences. Investors in venture capital, private equity, or hedge funds looking to understand investment opportunities created by generative AI.
  • Professionals from all industries and sectors are welcome to create a dynamic learning ecosystem. Senior sales and marketing managers aiming to integrate AI into marketing strategies, leveraging generative AI for transformative outcomes with industry examples and tools to optimize customer journeys.
  • C-suite executive and strategic decision-makers who seek expert insights on AI trends, high-impact strategies, and leveraging generative AI for innovation and competitive advantage. Drive innovative AI initiatives for your organization by exploring trends, use cases, industry applications, and best practices. Senior technology managers in IT, healthcare, and finance are looking for a strategic AI perspective to innovate operations, understand AI's business transformation potential, identify generative AI capabilities and areas of improvement, and align initiatives effectively.
  • Senior management and IT consultants advise clients on digital transformation, business excellence, and operational transformation; staying current with the AI revolution is crucial. The program's new generative AI content offers valuable knowledge and practical tools to leverage AI's potential, positioning generative AI as a game-changer for achieving business objectives.
  • The ability to lead informed, strategic decision-making and augment business performance by integrating key AI management and leadership insights into your organization's operations. Offering you a sound conceptual understanding of AI technologies through a business lens.
Excel Your Career and Contribute to the Organization Growth

The program focuses on creating new career opportunities through extensive, meticulous knowledge with enhanced level capabilities for dynamically contributing to a privacy and compliance team.

  • AI Strategy Development: Assist clients in defining their AI vision, goals, and roadmap aligned with their business objectives. Craft your AI journey, from strategy and capabilities to execution and organization.
  • Data Strategy and Management: Help clients collect, store, manage, and analyze data to ensure it's ready for AI applications.
  • AI Readiness Assessment: Evaluate clients' current infrastructure, processes, and talent readiness for AI implementation and provide recommendations for improvement.
  • Use Case Identification and Prioritization: Work with clients to identify high-impact AI use cases relevant to their business and prioritize them based on feasibility and potential ROI.
  • Proof of Concept (POC) Development: Develop small-scale prototypes to demonstrate the feasibility and value of AI solutions for specific use cases.
  • AI Ethics and Governance: Guide ethical AI practices, ensuring fairness, transparency, accountability, and regulation compliance.
  • AI Training and Education: Offer training programs and workshops to upskill client teams on AI concepts, tools, and best practices.
  • AI Integration Services: Integrate AI solutions with clients' existing systems, platforms, and workflows to maximize their impact and efficiency.
  • AI Security and Fraud Detection: Implement AI solutions for detecting and preventing security threats, fraud, and unauthorized access to sensitive data.

Various Job Oppoortunites are :


  • Compliance Officer
  • Information Security
  • IT Analyst
  • Manager
  • Developers
  • Compliance Auditor
  • Health Information Manager
  • Practice Manager
  • Risk Analyst
  • Medical Records Supervisor
  • IT Manager
  • Privacy and Security Consultant
  • Cybersecurity Consultant
  • System Analysts/Managers

Eligibility :

The candidate who completed Artificial Intelligence Engineering Course is eligible for the Exam

Take Exam

The candidate is eligible for CSC Council exam if he completed the course of Artificial Intelligence Engineering

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CSC - Certified Artificial Intelligence & Machine Learning Course

Course is not available for self Paced Course. This course is exclusively offered in the classroom section among the three options available (Self-paced, Blended, Classroom). Click on the classroom section to access more detailed information.

Material of Artificial Intelligence Engineering Course

Course is not available for self Paced Course. This course is exclusively offered in the classroom section among the three options available (Self-paced, Blended, Classroom). Click on the classroom section to access more detailed information.

The 80 to 100 hour curriculum and three-hour exam is a challenging program that takes a multidisciplinary approach to attain proficiency in relevant domains, and modern information security.

Price of the Course

Price: $ 957.89

This course seamlessly combines technical knowledge with managerial perspectives, ethical considerations, and human factors, providing a comprehensive understanding of digital transformation strategies leveraging AI as a driving force for change.

Artificial Intelligence Engineering Course Details

Generative AI platforms are revolutionizing the way we do business.

. The course provides a practical grounding in artificial intelligence (AI) and its business applications, equipping you with the knowledge and confidence you need to transform your organization into an innovative, efficient, and sustainable company of the future.

CSC - Certified AI - Ml Course

Course is not available for self Paced Course. This course is exclusively offered in the classroom section among the three options available (Self-paced, Blended, Classroom). Click on the classroom section to access more detailed information.

Material of AI - ML Course

Course is not available for self Paced Course. This course is exclusively offered in the classroom section among the three options available (Self-paced, Blended, Classroom). Click on the classroom section to access more detailed information.

The 80 to 100 hour curriculum and three-hour exam is a challenging program that takes a multidisciplinary approach to attain proficiency in relevant domains, and modern information security.

Price of the Blended Course

Price: $ 0.00


his course seamlessly combines technical knowledge with managerial perspectives, ethical considerations, and human factors, providing a comprehensive understanding of digital transformation strategies leveraging AI as a driving force for change.

Artificial Intelligence Engineering Course Details

Generative AI platforms are revolutionizing the way we do business.

The course provides a practical grounding in artificial intelligence (AI) and its business applications, equipping you with the knowledge and confidence you need to transform your organization into an innovative, efficient, and sustainable company of the future.

CSC - Certified AI - Ml Course

Generative AI platforms are revolutionizing the way we do business. The course provides a practical grounding in artificial intelligence (AI) and its business applications, equipping you with the knowledge and confidence you need to transform your organization into an innovative, efficient, and sustainable company of the future.

Insturctional Mode of the Artificial Intelligence Engineering Course are

Online in-person classes via Zoom from June 8 to July 31augmented by special training from CSC portals.

Labs are provided for each student to practice Gen AI.

Class Meets of the Artificial Intelligence Engineering Course are

Price: $ 0.00

Saturday or Sunday Batch - From 8 AM till 4 PM IST

College Affiliates – Check with the college coordinators.

This will be a hybrid class, with some students attending in person and some attending virtually via Zoom. All students must log in to Zoom and stay connected throughout the session to answer polls and chat questions.

Course Curriculum of the Artificial Intelligence Engineering Course are

Program Hours

80 to 100 hours / 8 Weeks

Students have 24/7 Full Access to the Labs and Support

Disclaimer

CSC-Council reserves the right to impose additional restriction to comply with the policy.

Failure to act in accordance with this clause shall render the authorized training center in violation of their agreement with EC-Council.

CSC-Council reserves the right to revoke the certification of any person in breach of this requirement.