I Completed the Career Essentials in Generative AI Professional Certificate by Microsoft and LinkedIn. I Recommend (My Review) by Adeyemi Adetilewa.pdf

In this review, Adeyemi Adetilewa reflects on his completion of the Career Essentials in Generative AI Professional Certificate by Microsoft and LinkedIn.

He explores how the course deepened his understanding of large language models, prompt engineering, and ethics in AI.

The article describes specific modules: foundations, cross-industry use cases, productivity tools, and responsible AI, and shares how he applies those lessons to SEO, content creation, analytics, and marketing workflows.

He emphasizes that AI should support human strategy, not replace it, and gives advice for beginners on getting started with AI in marketing.

1. Adeyemi Adetilewa

| Completed the Career Essentials
in Generative Al Professional
Certificate by Microsoft and
LinkedIn (I Recommend)

October 4, 2025 by Adeyemi Adetilewa

Artificial intelligence is changing how we plan, create, and grow.

In digital marketing, it touches search, content, and analytics in ways you can feel daily.
That is why | completed the Career Essentials in Generative Al Professional Certificate by
Microsoft and Linkedin, to sharpen my marketing strategy with practical Al skills that work
in real projects.

This is more than a professional certificate on my Linkedin profile. It marks a shift toward
smart automation, blending human creativity with Al, and how it drives efficiency in client
work to help them achieve the same. The goal is simple: better outcomes with less waste
and more clarity.

Why | Chose the Microsoft and LinkedIn Al
Course

Digital marketing moves fast. Search algorithms update, tools change, and expectations
for content keep rising. Generative Al now sits at the core of many workflows, from
research to writing to reporting.

2. | took the course to stay sharp and strategic in a data-driven marketing market. My daily
work focuses on SEO, Al-driven content creation, and automation, so | wanted a deeper
grip on how these systems function and where they add real value

Here is what | set out to learn:

+ How models like GPT and Microsoft Copilot work behind the scenes, based on
underlying machine learning principles.

+ How generative Al speeds up research, content production, and analysis.
+ How to use Al responsibly and keep a strong human voice.

This was not a box to tick. It was a strategic step. The best results come from pairing Al
speed with human judgment.

ked ff Learning Microsoft

Career Essentials in Generative Al by
Microsoft and LinkedIn

3. What the Career Essentials in Generative
Al Course Covers

The Career Essentials in Generative Al Professional Certificate, created by Microsoft and
Linkedin, focuses on practical understanding. It connects the fundamentals to real work, so
you can use Al with confidence.

Here are the parts that stood out:

Foundations of Al: How the program covers large language models and other
foundation models, leveraging concepts of machine learning, training data, and
prompts to shape output.

Cross-industry use cases: Marketing, education, healthcare, and operations
examples that show real impact

Responsible Al: Principles for fairness, transparency, and trust that hold up in client
work

Productivity tools: Hands-on use of Microsoft Copilot, Bing Chat, and related tools
that boost collaboration, including learning advanced usage through prompt
engineering,

Each module focused on action, The lessons showed how Al supports human work, not
how it replaces it

Key Takeaways That Guide My Work

Finishing the course gave me a clear playbook for using Al as a multiplier to maximize
business ROL Smart Al utilization helps, but it does not make decisions for you.

Here are the biggest takeaways:

+ Strategy beats output volume. Al can draft fast, but goals, audience insight, and
positioning still drive results.

4. + Generative Al accelerates content creation. For outlines, briefs, SEO topic clusters,
and first drafts, tools like ChatGPT, Gemini, Jasper, and Copilot cut time.

+ Data is the advantage. Al supports actionable data analysis by turning data into
patterns you can use, but picking the right inputs is the human edge.

+ Ethics is part of the job. Clear sourcing, disclosure, and fact-checking build trust
and protect your brand,

This mix of human strategy and machine support now shapes my overall marketing efforts
including how | plan content, build funnels, and measure performance.

Linked [fl] Learning

A Content Marketer's Guide to
Responsible Al

How | Apply Al Across My Platforms

5. My work centers on helping businesses grow using a clear digital marketing strategy and
‘measurable actions. Over the years, | have launched and managed platforms that serve
founders and teams with useful insights and tools.

+ IdeasPlusBusiness.com (ideas for building durable brands and smarter operations)
SaaSXtra.com (side-by-side SaaS discovery and comparison for business growth)
CoinBuns.com (the meeting point of payments, Web3, and financial innovation)
PayAPeer.com (peer-to-peer (P2P) payment apps across Web2 and Web3)
ElloAl.com (a curated index of Al tools for professionals and teams)

The Career Essentials in Generative Al Professional Certificate, offered by Microsoft and
Linkedin, enhances my approach to managing these projects.

1 use it to achieve workflow simplification through refining keyword maps for content
generation, scaling briefs, standardizing style guides, and testing content angles faster. It
also helps me build automation that improves efficiency without lowering quality.

This was not about chasing hype. It was about long-term durability, the skill to learn new
Al tools quickly, and apply them to real business needs.

Practical Ways Al Improves Marketing
Workflows

Let's get specific. Here are some day-to-day ways Al helps my clients and my own projects,
from SEO to content creation to growth, ultimately improving overall marketing workflows.

1. Research and strategy

+ Build topical maps using customer data to improve customer segmentation and
cluster keywords by intent.

+ Summarize long reports into usable insights.

6. + Draft POVS for thought leadership based on expert notes.

2. Content planning and production
+ Create briefs with headings, FAQs, and internal links.
+ Turn webinars or interviews into articles, clips, and social posts.

+ Generate alternative headlines, meta descriptions, advertising copy, and CTAs using
Al for A/B testing options.

3. On-page SEO and optimization
+ Suggest schema types and on-page improvements,
+ Compare top results to find content gaps.
+ Propose internal link targets and anchor text options.
4. Analytics and reporting
+ Translate spreadsheets into plain-language summaries.
+ Spot anomalies in traffic or conversion data as part of predictive analytics.
+ Draft weekly updates with clear next steps.
5. Operations and collaboration
‘Standardize SOPs for content and outreach,

Outline email templates and follow-up sequences using Al, leveraging virtual
agents,

Turn meeting notes into task lists with owners and deadlines.

None of this replaces the strategy. It supports the strategy and raises the bar for speed
and quality, enhancing the customer experience.

7. Linked [J Learning

Ethics in the Age of Generative Al

{04PM UTC +39 minute

Responsible Al: How | Keep It Honest and
Useful

Trust matters. Al can introduce bias or produce errors when the inputs are weak. That is
why a strong process sits behind my workflow.

+ Disclosure: | share where generated content was used and where humans reviewed
+ Source checking: | verify facts, stats, and quotes before publication.
+ Brand voice: | tune prompts to match tone and adjust by hand when needed,

+ Data privacy: | avoid sensitive input to protect customer data and respect client
policies.

8. + Originality: | use tools to brainstorm angles, then add experience and examples.

This approach protects quality and reputation, two things that take years to build

Practical Lessons From the Career
Essentials in Generative Al Professional
Certificate by Microsoft and Linkedin

Here are a few quick examples that show how lessons from Generative Al play out in real
work.

+ SEO content refresh: Used Al to audit a set of posts, flagged gaps, and drafted
improved sections. Human edits tightened the narrative, improved customer
engagement, and added expert tips. Rankings and time on page improved.

Thought leadership series: Bult a content framework from interviews, then used Al
to organize quotes and outline long-form pieces. Final drafts kept the founder's
voice while scaling output, enabling strategic personalization

‘SaaS comparison hub: Created a structured template for reviews that accelerates
content creation, including pros, cons, pricing, and use cases. Al produced first

drafts, then editors validated data and added screenshots.

The pattern is consistent. Al kicks off the heavy lifting, and humans shape the final product.

How You Can Start With Al Learning

If you work in marketing, own a business, or create content, Al skills will help you move
faster and think clearly, improving your overall efficiency, You do not need to be technical
to start

Here is a simple path:

+ Take the Career Essentials in Generative Al Professional Certificate by Microsoft and
LinkedIn. It is free and beginner-friendiy.

9. Test tools like ChatGPT, Copilot, or Jasper, exploring Al capabilities like image
generation and video generation. Start with small tasks, such as outlines or
summaries.

Build a prompt library. Save what works for briefs, emails, and reports.

Keep it ethical. Disclose Al use, cite sources, and edit carefully

Keep learning. Follow trusted voices, join small communities, and review your
process monthly.

The goal is control, not dependence. You guide the tools; the tools do not guide you.

Linked [fl Learning

Introduction to Prompt Engineering

for Generative Al

What This Means for Clients and Partners

10. For clients, the impact of Generative Al in Digital Marketing means faster testing, clearer
reporting, and stronger content that delivers a superior customer experience. It means
more time spent on what matters: customer insight, offers, and distribution,

For collaborators, it means shared systems like prompt libraries and internal tools such as
chatbots for quick access to information and a better handoff. Briefs, SOPs, and prompts
become assets that teams can use across projects, enabling greater personalization of
outreach,

For my platforms, it means scale with standards through automation. | can grow output
without losing voice, structure, or data quality

Why Career Essentials in Generative Al
Professional Certificate by Microsoft and
LinkedIn Matters to Me

The Career Essentials in Generative Al Professional Certificate by Microsoft and LinkedIn
helped me raise my baseline. It gave me a solid structure to use Al with purpose in SEO,
content, and analytics.

Al will not replace human creativity or experience. It will make strong teams faster, more
focused, more consistent, and better at driving customer engagement. That is the point.

As continue supporting clients and building platforms like IdeasPlusBusiness.com,
SaaSXtra.com, CoinBuns.com, PayAPeer, EloAlcom, and others, | will apply these lessons
to drive growth through strategic personalization with less guesswork.

If you want smarter content, cleaner SEO, and better use of data through predictive
analytics, this is how we get there. Ready to talk about how Al can sharpen your
marketing? Connect with me on Linkedin, and let's map the next step together.

Adeyemi Adetilewa
Aejemi Adele ia Senior Digital Marketing Specialist and Founder of PB Distal Netw, a
company powering his digital publishing and marketing projet, He also runs his personal website,
Adeyenidetlewa com, where he share insights on SEO, content marketing, and business growth
With over 10 years of experience, Adeyem has bul niche platforms ike IdensPusBusiness com,

11. and ‘and contributed to publications
including Huffington Post, Thive Global, and Hackernoon.

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