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Premium Career Track - AI & Machine Learning Strategist

Lead enterprise AI initiatives by aligning machine learning with business value, ethics, governance, and transformation.
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Course Duration: 200 Hours
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AI & Machine Learning Strategist – Premium Career Track
 
The Premium Career Track – AI & Machine Learning Strategist course is a future-forward, executive-level learning experience designed for professionals who aim to lead, design, and scale enterprise AI initiatives. This course offers a strategic perspective on artificial intelligence and machine learning, enabling you to become a trusted leader who can bridge the gap between data science, digital transformation, and organizational decision-making.
 
In today’s fast-paced digital economy, AI is more than a tool—it's a transformation driver. However, without a clear strategic framework, even the most sophisticated models can fail to deliver real-world value. As an AI & ML Strategist, your role goes beyond understanding algorithms; you must architect solutions that are technically sound, ethically aligned, financially viable, and organizationally scalable.
 
This course is designed for business leaders, senior technologists, data professionals, consultants, and transformation managers who want to elevate their understanding from tactical implementation to strategic innovation. It covers the full AI project lifecycle—from business case development and use case prioritization to model deployment, MLOps, responsible AI governance, and ROI evaluation.
 
Learners will engage in real-world case studies, toolkits, and decision frameworks to understand how companies like Google, Microsoft, Amazon, IBM, and leading startups are embedding AI into their core products and operations. You’ll learn to assess AI maturity, plan data readiness, build executive alignment, manage AI product teams, and oversee ethical and regulatory compliance.
 
Whether your goal is to lead AI adoption in your company, become a transformation executive, or consult global enterprises on AI strategy, this program is your launchpad.
 
 
How to Use This Course Effectively
 
  • Start with Strategy: Begin by grasping the business-first foundation before diving into technical and operational topics.
  • Use Strategic Toolkits: Each module provides downloadable templates (e.g., use case matrices, ROI calculators, risk checklists).
  • Engage with Case Studies: Real examples from healthcare, fintech, retail, and manufacturing help contextualize decision-making.
  • Bridge Theory and Practice: Apply what you learn to your own organizational or consulting environment.
  • Take Notes and Reflect: This is an executive track—your insights and critical thinking will shape how you apply AI in your context.

Course/Topic 1 - Course access through Google Drive

  • Google Drive

    • 01:20

  • Google Drive

    • 01:20

Course/Topic 2 - Deep Learning Foundation - all lectures

  • In this session we will learn about the introduction to Deep Learning. This video talks about Deep Learning as a series introduction and what is a neural network. Furthermore, we will talk about the 3 reasons to go deep and your choice of Deep net.

    • 52:39

  • In this video tutorial we will discuss about the neural networks and the 3 reasons to go Deep. Further we will also learn about the use of GPU in artificial intelligence and your choice of deep net.

    • 30:06

  • In this session we will learn about the deep learning models basics. After this video you will be able to understand the concept of restricted Boltzmann machines and deep belief network. Furthermore, you will learn about the convolution neural network and recurrent neural network.

    • 43:00

  • In this video course further topics of Deep learning models. After this video you will be able to understand the convolution neural network and its characteristics in detail.

    • 1:26:51

  • In this video course further topics of Deep learning models. After this video you will be able to understand the recurrent neural network and its characteristics.

    • 15:43

  • In this session the tutor talks about the basic Additional Deep Learning Models. In this video you will learn about Auto encoders, Recursive neural tensor network and generative adversarial networks

    • 44:28

  • This session is in continuation to the previous session. In this video we will learn about the Recursive Neural Tensor Network in detail and hierarchical structure of data.

    • 31:44

  • In this Additional Deep Learning Models tutorial, we will proceed with the Generative Adversarial Networks (GAN) and its uses.

    • 22:22

  • In this video the tutor explains the Platforms and Libraries of Deep Learning. We will start with what is a deep net platform, H2O.ai and Dato Graph Lab. Further we will see what is a Deep Learning Library and Theano and Caffe. We will also cover a bit of Keras and TensorFlow.

    • 53:43

  • This tutorial will cover the further part of DatoGraph Lab and its history. Further we wil see the benefits and uses of DatoGraph Lab.

    • 28:19

  • This tutorial will cover the further part of DatoGraph Lab and its history.

    • 28:15

  • In this video we will cover the further topics of Deep Learning platform and Libraries such as what is a Deep Learning Library? when and how to use Theano and Caffe as Deep Learning Library.

    • 29:19

  • In previous video we have leant about Theano and Caffe Deep Learning Library. In this video we will learn about the TensorFlow (free and open source library) as a Deep Learning Library and building Deep Learning Models.

    • 40:18

  • In this video we will learn about the last type of Library i.e. Keras. Keras is an open source neural network library and runs on top of Theano or TensorFlow. We will further see the advantages of Keras in Deep Learning.

    • 25:34

Course/Topic 3 - Generative AI Specialization - all lectures

  • Lecture 1 - Introduction to Generative AI - part 1

    • 34:55

  • Lecture 2 - Introduction to Generative AI - part 2

    • 30:05

  • Lecture 3 - Introduction to Generative AI - part 3

    • 31:14

  • Lecture 4 - Introduction to Large Language Models (LLMs) - part 1

    • 23:54

  • Lecture 5 - Introduction to Large Language Models (LLMs) - part 2

    • 36:54

  • Lecture 6 - Prompt Engineering Basics - part 1

    • 17:13

  • Lecture 7 - Prompt Engineering Basics - part 2

    • 46:41

  • Lecture 8 - Responsible AI

    • 44:48

  • Lecture 9 - Generative AI - Impact - Considerations - Ethical Issues

    • 53:37
Course Objectives Back to Top
By the end of this course, learners will be able to:
 
  1. Create a holistic AI and ML strategy aligned with business objectives.
  2. Identify and prioritize impactful, feasible AI use cases.
  3. Assess AI readiness and build a roadmap for enterprise adoption.
  4. Develop AI governance and ethics frameworks tailored to organizational goals.
  5. Translate complex ML problems into business value propositions.
  6. Manage cross-functional AI teams and vendor partnerships.
  7. Implement MLOps strategies for scalable model deployment.
  8. Design performance metrics and KPIs to track AI ROI and impact.
  9. Oversee responsible AI initiatives and regulatory compliance (GDPR, AI Act, etc.).
  10. Lead digital transformation initiatives powered by data and AI.
Course Syllabus Back to Top
Course Syllabus
 
Module 1: AI for Business Leaders
– Defining AI and ML in Business Context
– Evolution from Data Analytics to AI Transformation
– Case Studies: From AI Labs to Real-World Deployment
 
Module 2: AI Strategy Development
– Aligning AI with Business Models
– AI Canvas and Use Case Mapping
– Building the AI Roadmap
 
Module 3: Use Case Identification & Prioritization
– Strategic Prioritization Matrix (Impact vs. Feasibility)
– Customer-Centric AI Use Cases
– AI Product Design Fundamentals
 
Module 4: Data & Infrastructure Readiness
– Data Governance and AI Data Maturity
– Data Quality, Access, and Labeling
– Infrastructure Planning (Cloud, Edge, Hybrid)
 
Module 5: Machine Learning Lifecycle & MLOps
– ML Development Lifecycle: From Data to Model
– Experiment Tracking and Version Control
– Introduction to MLOps (CI/CD/CT for AI)
– Tooling: MLflow, Kubeflow, Vertex AI, SageMaker
 
Module 6: AI Operating Models & Organizational Design
– Centralized vs. Federated AI Teams
– AI Centers of Excellence (CoEs)
– Internal vs. External AI Collaboration Models
 
Module 7: Responsible AI and Ethics
– AI Fairness, Accountability, Transparency, and Ethics (FATE)
– Risk Assessments and Bias Mitigation
– Regulatory Compliance (AI Act, GDPR, ISO 42001)
– Ethics Committees and Governance Boards
 
Module 8: Vendor and Platform Management
– Evaluating Build vs. Buy Decisions
– Managing External AI Platforms (Azure, Google, AWS)
– Contracts, Accountability, and Service-Level Agreements
 
Module 9: Business Value and ROI Measurement
– KPI Design and AI Impact Metrics
– ROI vs. TCO vs. Time-to-Value Analysis
– Reporting to Executives and Boards
 
Module 10: Leadership and Change Management
– AI Culture and Organizational Readiness
– Communication Strategies for Non-Technical Stakeholders
– Change Management Models (Kotter, ADKAR)
 
Module 11: AI for Innovation & Emerging Trends
– AI in the Future of Work, Metaverse, IoT, and Web 3.0
– Trends in Generative AI, LLMs, and Foundation Models
– Quantum Computing and AI Strategy
 
Module 12: Capstone Strategy Project
– Develop and Present a Full AI Strategy
– Use Case Portfolio, Risk Plan, ROI Map
– Peer Review and Strategic Feedback
Certification Back to Top
Upon successful completion of this premium course, learners will be awarded the AI & Machine Learning Strategist Certificate of Excellence by Uplatz. This industry-recognized certification is a symbol of your strategic and executive-level competence in managing AI transformation across business, governance, and technical domains.
 
The certification validates your readiness to lead AI adoption across enterprises, drive innovation, and bridge the gap between technical teams and C-level leadership. It positions you as a forward-thinking expert who can responsibly scale AI initiatives, deliver real value, and ensure long-term sustainability.
 
Add this certificate to your professional profile, resume, and LinkedIn portfolio to elevate your positioning for roles like Head of AI Strategy, Chief AI Officer, or Digital Transformation Lead. The credential is especially valuable for those consulting enterprises or aiming to lead in data-first organizations.
Career & Jobs Back to Top
AI & Machine Learning Strategists are the linchpins of modern AI transformation. As organizations race to embed intelligent systems into products and operations, they need leaders who can think strategically, plan responsibly, and deliver measurable value from AI.
 
This course prepares you for high-impact roles including:
  • AI/ML Strategist
  • Head of Data & AI Strategy
  • Chief AI Officer (CAIO)
  • AI Governance Lead
  • Digital Transformation Manager
  • AI Product Owner
  • Enterprise AI Consultant
You’ll find opportunities in global enterprises, Big Tech, consulting firms (e.g., McKinsey, Deloitte), innovation hubs, AI startups, and government think tanks. These roles are in demand across industries—healthcare, finance, logistics, energy, education, and beyond.
 
Employers seek strategists who can shape AI roadmaps, lead cross-functional teams, balance ethical risk, and ensure strategic alignment with business outcomes. Your ability to understand technical AI and explain it in business language makes you a crucial asset for C-level alignment.
 
With the explosion of generative AI, foundation models, and AI democratization, there's a rising need for professionals who not only understand the trends but can also harness them responsibly. This course ensures you are well-equipped to lead this charge.
Interview Questions Back to Top
1. What is the core responsibility of an AI Strategist?
To align AI/ML initiatives with business goals, manage risks and ethics, and ensure scalable, valuable implementation.
 
2. How do you evaluate AI use cases?
By assessing business impact, feasibility, data readiness, and alignment with strategic priorities using prioritization frameworks.
 
3. What’s the role of MLOps in AI strategy?
MLOps ensures reliability, automation, scalability, and governance of ML models in production—critical for sustainable AI deployments.
 
4. How do you communicate AI value to executives?
Use business-focused KPIs, ROI metrics, and storytelling techniques to connect AI capabilities with strategic outcomes.
 
5. What are common risks in enterprise AI adoption?
Bias, model drift, lack of explainability, data privacy violations, regulatory non-compliance, and organizational resistance.
 
6. What’s the difference between AI governance and AI ethics?
Governance involves structures, processes, and accountability; ethics focuses on values like fairness, transparency, and inclusivity.
 
7. How would you approach building an AI team?
Start with a core cross-functional team including data scientists, product owners, ethicists, and operations, aligned to business priorities.
 
8. What is “Responsible AI” and why does it matter?
Responsible AI ensures that systems are fair, transparent, accountable, and aligned with human values and legal frameworks.
 
9. How do you measure ROI in AI projects?
Through cost savings, revenue increase, efficiency gains, customer retention, and innovation metrics tracked over time.
 
10. What trends are shaping AI strategy today?
Generative AI, LLMs, synthetic data, AI democratization, edge AI, and integration with IoT and quantum technologies.
Course Quiz Back to Top
Start Quiz
Q1. What are the payment options?
A1. We have multiple payment options: 1) Book your course on our webiste by clicking on Buy this course button on top right of this course page 2) Pay via Invoice using any credit or debit card 3) Pay to our UK or India bank account 4) If your HR or employer is making the payment, then we can send them an invoice to pay.

Q2. Will I get certificate?
A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php

Q3. How long is the course access?
A3. All our video courses comes with lifetime access. Once you purchase a video course with Uplatz you have lifetime access to the course i.e. forever. You can access your course any time via our website and/or mobile app and learn at your own convenience.

Q4. Are the videos downloadable?
A4. Video courses cannot be downloaded, but you have lifetime access to any video course you purchase on our website. You will be able to play the videos on our our website and mobile app.

Q5. Do you take exam? Do I need to pass exam? How to book exam?
A5. We do not take exam as part of the our training programs whether it is video course or live online class. These courses are professional courses and are offered to upskill and move on in the career ladder. However if there is an associated exam to the subject you are learning with us then you need to contact the relevant examination authority for booking your exam.

Q6. Can I get study material with the course?
A6. The study material might or might not be available for this course. Please note that though we strive to provide you the best materials but we cannot guarantee the exact study material that is mentioned anywhere within the lecture videos. Please submit study material request using the form https://training.uplatz.com/study-material-request.php

Q7. What is your refund policy?
A7. Please refer to our Refund policy mentioned on our website, here is the link to Uplatz refund policy https://training.uplatz.com/refund-and-cancellation-policy.php

Q8. Do you provide any discounts?
A8. We run promotions and discounts from time to time, we suggest you to register on our website so you can receive our emails related to promotions and offers.

Q9. What are overview courses?
A9. Overview courses are 1-2 hours short to help you decide if you want to go for the full course on that particular subject. Uplatz overview courses are either free or minimally charged such as GBP 1 / USD 2 / EUR 2 / INR 100

Q10. What are individual courses?
A10. Individual courses are simply our video courses available on Uplatz website and app across more than 300 technologies. Each course varies in duration from 5 hours uptop 150 hours. Check all our courses here https://training.uplatz.com/online-it-courses.php?search=individual

Q11. What are bundle courses?
A11. Bundle courses offered by Uplatz are combo of 2 or more video courses. We have Bundle up the similar technologies together in Bundles so offer you better value in pricing and give you an enhaced learning experience. Check all Bundle courses here https://training.uplatz.com/online-it-courses.php?search=bundle

Q12. What are Career Path programs?
A12. Career Path programs are our comprehensive learning package of video course. These are combined in a way by keeping in mind the career you would like to aim after doing career path program. Career path programs ranges from 100 hours to 600 hours and covers wide variety of courses for you to become an expert on those technologies. Check all Career Path Programs here https://training.uplatz.com/online-it-courses.php?career_path_courses=done

Q13. What are Learning Path programs?
A13. Learning Path programs are dedicated courses designed by SAP professionals to start and enhance their career in an SAP domain. It covers from basic to advance level of all courses across each business function. These programs are available across SAP finance, SAP Logistics, SAP HR, SAP succcessfactors, SAP Technical, SAP Sales, SAP S/4HANA and many more Check all Learning path here https://training.uplatz.com/online-it-courses.php?learning_path_courses=done

Q14. What are Premium Career tracks?
A14. Premium Career tracks are programs consisting of video courses that lead to skills required by C-suite executives such as CEO, CTO, CFO, and so on. These programs will help you gain knowledge and acumen to become a senior management executive.

Q15. How unlimited subscription works?
A15. Uplatz offers 2 types of unlimited subscription, Monthly and Yearly. Our monthly subscription give you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews each month. Minimum committment is for 1 year, you can cancel anytime after 1 year of enrolment. Our yearly subscription gives you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews every year. Minimum committment is for 1 year, you can cancel the plan anytime after 1 year. Check our monthly and yearly subscription here https://training.uplatz.com/online-it-courses.php?search=subscription

Q16. Do you provide software access with video course?
A16. Software access can be purchased seperately at an additional cost. The cost varies from course to course but is generally in between GBP 20 to GBP 40 per month.

Q17. Does your course guarantee a job?
A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!

Q18. Do you provide placement services?
A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field. However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
a) Career Counseling: Seek guidance from career counselors who can provide personalized advice and help you tailor your job search strategy.
b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights.
c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.

Q19. How do I enrol in Uplatz video courses?
A19. To enroll, click on "Buy This Course," You will see this option at the top of the page.
a) Choose your payment method.
b) Stripe for any Credit or debit card from anywhere in the world.
c) PayPal for payments via PayPal account.
d) Choose PayUmoney if you are based in India.
e) Start learning: After payment, your course will be added to your profile in the student dashboard under "Video Courses".

Q20. How do I access my course after payment?
A20. Once you have made the payment on our website, you can access your course by clicking on the "My Courses" option in the main menu or by navigating to your profile, then the student dashboard, and finally selecting "Video Courses".

Q21. Can I get help from a tutor if I have doubts while learning from a video course?
A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.
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